Current Doctoral Students (Batch-wise)

2009

2009 2010 | 2011 | 2012 | 2013 | 2014 |

Mandar Maitra

Email ID: mandar@iitg.ernet.in

Contact: 7896793298

Educational Qualification: B.Tech.,M.Tech.

Roll Number: 09610224

Joining Date: 30/12/2009

Research Interest: MEMS Sensor

Thesis Supervisor: Prof. H.B.Namade

Thesis title:Piezoelectricity of Monolayer MoS2

Abstract:

Single layer MoS2 possesses piezoelectricity which disappears with the increase of layers. The intrinsic piezoelectricity of monolayer or few layers MoS2 under alternating electric field will produce vibration. The objective is to study the piezoelectric resonating property of monolayer MoS2 for sensor application. The application of the device is predicted as sensor with a better sensitivity.

Publications:

Journals

  • Mandar Maitra, Harshal B. Nemade, “Simulation of longitudinal mode of vibration in piezoelectric monolayer MoS2,” published in Procedia Engineering, Elsevier, 144 (2016) 682-688.

  • Conferences

  • Mandar Maitra, Harshal B. Nemade, and Jitendra Kumar, “Investigation of Mass Sensitivity of Piezoelectric Monolayer MoS2 using Finite Element Simulation,” presented in ICEMS 2016, JNU Jaipur, India, 17th-19th Mar. 2016

  • Mandar Maitra, Harshal B. Nemade, “Simulation of longitudinal mode of vibration in piezoelectric monolayer MoS2,” presented in 12th ICOVP 2015, IIT Guwahati, India, 14th-17th Dec. 2015.

  • Mandar Maitra, Harshal B. Nemade, and Sushanta Kundu, “Simulation of an AlN thin film resonator for high sensitivity mass sensors,” presented in COMSOL conference, Pune, India, 29th-30th Oct. 2015.

  • 2010

    2010 2009 | 2011 | 2012 | 2013 | 2014 |

    Madhulika Das

    Email ID: madhulika@iitg.ernet.in

    Contact:+91-7896172212

    Educational Qualification:B.Tech.,M. Tech.

    Roll Number: 10610206

    Joining Date: 23/07/2010

    Research Interest:Optimal sliding mode control

    Thesis Supervisor: Prof. Chitralekha Mahanta

    Thesis title: N/A

    Abstract: N/A

    Publications:

    Journals

  • Madhulika Das and Chitralekha Mahanta, "Optimal Second Order Sliding Mode Control for Linear Uncertain Systems", ISA Transactions (Elsevier), vol.53, issue 6, November 2014, pp. 1807-1815.

  • Madhulika Das and Chitralekha Mahanta, "Optimal Second Order Sliding Mode Control for Nonlinear Systems", ISA Transactions (Elsevier), vol. 53, issue 4, July 2014, pp. 1191-1198.

  • Conferences

  • Madhulika Das and Chitralekha Mahanta, "Disturbance observer based optimal second order sliding mode controller for nonlinear systems with mismatched uncertainty", 2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI 2016), January 8-10, 2016, Kolkata, India.

  • Madhulika Das and Chitralekha Mahanta, "Optimal Second Order Sliding Mode Controller for Linear Systems with Mismatched Uncertainty ", Indian Control Conference 2015, Jan 5-7 2015, IITMadras.

  • Madhulika Das and Chitralekha Mahanta, "Optimal Adaptive Sliding Mode Controller for Linear Uncertain Systems", 2013 IEEE International Conference on Signal Processing, Computing and Control (ISPCC), 26-28 September 2013, Shimla, India.

  • Madhulika Das and Chitralekha Mahanta, "Optimal sliding Mode Controller for Systems with Mismatched Uncertainty ", 8th IEEE Conference on Industrial Electronics and Applications (ICIEA), 19-21 June 2013, Melbourne, Australia.


  • Basudeba Behera

    Email ID: basudeba@iitg.ernet.in

    Contact: +91-8812016250

    Educational Qualification: B.Tech.,M.Tech.

    Roll Number: 10610216

    Joining Date: 27/07/2010

    Research Interest: MEMS/NEMS, Microelectronics, VLSI

    Thesis Supervisor: Prof. H.B.Nemade

    Thesis title: Surface acoustic wave driven sandwich structured piezoelectric motor

    Abstract:

    I am working towards my PhD thesis entitled as “Surface acoustic wave driven sandwich structured piezoelectric motor” in the specialization of Micro-electromechanical system (MEMS). The proposed surface acoustic wave (SAW) motor with a cylindrical shaft sandwiched between two piezoelectric stators is capable of making both translational and rotational motion in forward and reverse directions. The distinct feature of the design is a cylindrical shaft sandwiched between two identical piezoelectric stators providing friction drive at the contact surfaces. Each stator has an interdigital transducer (IDT) fabricated on the piezoelectric substrate on either side of the shaft. The generation of SAW on the stator surface interacts with the shaft at the line of contact and the frictional force acts on the shaft in the direction opposite to the SAW propagation. Developing an ultrasonic motor in micro scale dimensions, which will be applicable for printers and personal device assistance (PDA), like operating camera lenses in smart phones, DSLR cameras, and tablets. This device can also be applicable in space application with its special type of characteristics to work in such harsh environments. Dealing with the Mathematical Modeling, Finite element simulation and Clean room fabrication of the proposed MEMS device.

    Publications:

    Patents

  • Basudeba Behera, H. B. Nemade,"Dual drive surface acoustic wave motor and the package",IN Patent App. 878/KOL/2,014

  • H.B.Nemade. Basudeba Behera,"Dual drive surface acoustic wave linear motor and the package",IN Patent App. 978/KOL/2,014

  • Journals

  • Vijay Bhaskar Semwal, Arun Chauhan, Basudeba Behera,"An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification",Springer- Multimedia Tools and Applications, 14

  • Basudeba Behera,H. B. Nemade,"Modelling and Finite Element Simulation of a Surface Acoustic Wave driven Linear Motor",Procedia Engineering 144 (2016), 1411-1418

  • Basudeba Behera, P C Mishra,"Modelling And Simulations Of Wireless Mobile Multiple Phase Transmission Protocol Using Tandem Queues With Bas Blockings",i-manager’s Journal on Electronics Engineering 1 (2), 31-35

  • Conferences

  • Behera, H B Nemade, S Trivedi,"Modelling and finite element simulation of a dual friction-drive SAW motor using flat slider",IEEE - International Ultrasonics Symposium (IUS), 2016 IEEE, 1-5

  • Basudeba Behera, H. B. Nemadek,"Modelling and Finite Element Simulation of a Surface Acoustic Wave driven Linear Motor",ICOVP- 2015

  • Basudeba Behera, H. B Nemade, Shyam Trivedi,"Finite Element Simulation Of A Surface Acoustic Wave Driven Linear Motor Using COMSOL Multiphysics",COMSOL Conference 2015, Pune

  • Basudeba Behera, Harshal B Nemade,"Optimizing Preload and Coefficient of Friction for Surface Acoustic Wave Linear Motor",AIMTDR 2014

  • Basudeba Behera, Harshal B Nemade,"Simulation of Piezoelectric SAW Motor using COMSOL Multiphysics,COMSOL Conference 2014

  • Basudeba Behera, "P C MishraModeling and simulation of wireless mobile multiple phase transmission protocols using tandem queues with blockings", TICE, Thapar University

  • B Behera, H.B Nemade, S Trivedi,"Finite Element Simulation of a Surface Acoustic Wave Driven Linear Motor"

  • B Behera, H.B Nemade,"Displacement and Velocity Analysis of a Surface Acoustic Wave Driven Motor Using COMSOL Multiphysics"


  • Y. Venkata Karteek

    Email ID: yanumula@iitg.ernet.in

    Contact: +91-9401784052

    Educational Qualification: B.Tech.

    Roll Number: 10610219

    Joining Date: 21/07/2010

    Research Interest: Multi-agent systems, Robotics

    Thesis Supervisor: Dr.Indrani Kar and Prof. Somanath Majhi

    Thesis title:N/A

    Abstract:

    Designing algorithms and implementing on a multi-robot time-delayed system with different communication topologies is being done. Time delays associated with sensors , inter-agent communication are considered and a back-stepping algorithm is proposed and validated to overcome the communication loss cases while reaching consensus. The algorithms are simulated for three robot system and it is validated on hardware with two autonomous robots powered by Beaglebone Black mother-board developed in laboratory and third robot, a research Patrolbot from Adept Mobilerobots. Consensus of time-delayed nonlinear multi-agents is implemented on non-mobile Arduino boards using pulse width generated by a pwm pin and its rate of change as states to be considered for consensus.

    Publications:

    Journals

  • Y. V. Karteek, Indrani Kar and S. Majhi, “Back-Tracking and History Following of Agents to Reach Consensus in a Network of Agents with Static Obstacles”, accepted for publication in International Journal of Robotics and Automation - Acta Press.

  • Conferences

  • Y. V. Karteek, I. Kar and S. Majhi, “Consensus in multi-agent systems with switching topologies using position based back-stepping”, in 2014 Annual IEEE India Conference (INDICON), Pune, Dec 11-13 , 2014, pp. 1-5, doi: 10.1109/INDICON.2014.7030505.

  • Yanumula Venkata Karteek and Indrani Kar, “Consensus of Multi-agent Systems with Back-stepping for Switching Topologies”, IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions , IIT Kanpur, India.July 14, 2013, pp. 143-147.


  • Vivek Lukose

    Email ID: v.lukose@iitg.ernet.in

    Contact: +91-8547523445

    Educational Qualification: B.Engg.,M.Tech.

    Roll Number: 10610225

    Joining Date: 12/07/2010

    Research Interest: Multi-agent systems

    Thesis Supervisor: Prof. H.B.Namade

    Thesis title: Design of SAW resonator for sensor appication

    Abstract:

    This work involves the simulation and fabrication of surface acoustic wave (SAW) resonators as sensor for measuring liquid properties and gas concentarions. Piezoelectric material is used as the substrate over which comb-shaped metallic electrodes called as interdigital transducer (IDT) are fabricated. Trenches are made on piezoelectric substrate and the sensing film is coated on the trenches. Conducting and non conducting film is used for measuring various gas concentrations. The absorption of gases changes sensing film material properties such as Young’s modulus density thickness etc, which changes the velocity of SAW causing change in resonance frequency of the SAW resonator.


    Tousif Khan Nizami

    Email ID: tousif@iitg.ernet.in

    Contact:+91-7663-864-124

    Educational Qualification:B.E (Electrical & Electronics Engineering) From: VTU Belgaum,M. Tech (Power Electronics) From: NIT Trichy

    Roll Number: 10610229

    Joining Date: 27/12/2010

    Research Interest:Control of Power Converters, Optimization techniques.

    Thesis Supervisor: Prof. Chitralekha Mahanta

    Thesis title: Observer Based Adaptive Control of DC-DC Converters

    Abstract:

    An observer based adaptive control technique for the Buck type DC-DC converter is proposed. An adaptive backstepping control and Chebyshev neural network (CNN) is integrated to developed a novel controller. The systematic design of backstepping controller has been improvised by incorporating the approximation of unknown load resistance parameter by a single layer Chebyshev neural network. The proposed method significantly improves voltage and current transient performances. Next, the extension of this work is carried out for angular velocity tracking in buck converter fed permanent magnet dc (PMDC)-motor. Owing to the universal approximation property of CNN, neural networks have been utilized for approximating the unknown nonlinear profile of instantaneous load torque. The inherent computational complexity of the neural network based adaptive scheme has been circumvented through the use of orthogonal Chebyshev polynomials as basis functions. The proposed control scheme is shown to yield a superior output performance with enhanced robustness for wide variations in load torque and set-point changes, compared to existing conventional approaches based on adaptive backstepping. The theoretical propositions are verified on an experimental prototype using dSPACE, Control Desk DS1103 setup with an embedded TM320F240 Digital Signal Processor proving its applicability to real-time electrical systems.

    Publications:

    Journals

  • Tousif Khan Nizami and Chitralekha Mahanta, "An Intelligent Adaptive Control of DC-DC Buck Converters", Journal of the Franklin Institute (Elsevier), Volume 353, Issue 12, August 2016, Pages 2588-2613.

  • Tousif Khan Nizami, Arghya Chakravarty and Chitralekha Mahanta, “Neuro-Adaptive Backstepping Control for Cascaded Buck Converter PMDC Motor Combination”, Control Engineering Practice, Volume 58, January 2017, Pages 78-87.

  • Book Chapters

  • Tousif Khan N. and C. Mahanta, “Hybrid Backstepping Control of DC-DC Buck Converters”, Systems Thinking Approach for Social Problems, volume 327 of the series Lecture Notes in Electrical Engineering, Springer, pp 129-14, 2015.

  • Conferences

  • Arghya Chakravarty, Tousif Khan Nizami and Chitralekha Mahanta “Real Time Implementation of an Adaptive Backstepping Control of Buck Converter PMDC-Motor Combinations”, Indian Control Conference, to be held in IIT Guwahati, Jan. 2017.

  • Tousif Khan Nizami and Chitralekha Mahanta, “A Single Layer Hermite Neural Network Based Direct Adaptive Control of DC-DC Buck Converter”, 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI 2016), Dubai, November 23-25, 2016.

  • Tousif Khan Nizami and Chitralekha Mahanta, “Single Layer Type II Chebyshev Neural Network Based Adaptive Backstepping Control of DC-DC Buck Converter”, IEEE India International Conference INDICON 2016.

  • Tousif Khan N. and Chitralekha Mahanta, "Experimental Investigation on an Adaptive Backstepping Control of Buck Converter PMDC Motor Combination", in proceedings of National Conference on Large Scale Multi-Disciplinary Systems of National Significance: Trends & Challenges (LAMSYS-2016), 24th-25th June 2016, ISRO Sriharikota.

  • Tousif Khan Nizami and Chitralekha Mahanta, "Chebyshev Neural Network Based Adaptive Back tepping Control of DC-DC Boost Converter", IEEE Seventh India International Conference on Power Electronics (IICPE-2016), Thapar University, November 17-19, 2016

  • Tousif Khan Nizami, A. Chakravarty and C. Mahanta, "Finite time current observer based adaptive backstepping control of buck converters," in proceedings of IEEE India International Conference INDICON 2015, New Delhi, India, 2015, pp. 1-6.

  • Tousif Khan Nizami and K. Sundareswaran, “Design and Development ofFeedback Controller for Buck Converter using Artificial Immune System”, in proceedings of 39th National Systems Conference, Shiv Nadar University, U.P, 14th-16th December, 2015

  • Tousif Khan Nizami and Chitralekha Mahanta, "Adaptive backstepping control for DC-DC buck converters using Chebyshev neural network," 2014 IEEE India Conference INDICON, Pune, 2014, pp. 1-5.

  • Tousif Khan N and Chitralekha Mahanta, “Robust Control of Discontinuous Conduction Mode Buck Converter via Integrated Chebyshev Neural Network based Adaptive Control”, in proceedings of 38th National Systems Conference, JNTU, Hyderabad, 5th-7th November, 2014

  • Tousif Khan Nizami and Chitralekha Mahanta, “Adaptive Chebyshev Neural Network Based Speed Control of Buck Converter Fed DC Motor”, in proceedings of 3rd National Symposium on Advances in Control & Instrumentation, held at Bhaba Atomic Research Centre, Mumbai 24-26 Nov. 2014

  • Tousif Khan N and K. Sundareswaran, “Voltage regulation enhancement in a Buck type DC-DC converter using queen bee evolution based Genetic Algorithm,” in proceedings of 2014 IEEE 6th India International Conference on Power Electronics (IICPE), Kurukshetra, 2014, pp. 1-6.

  • Tousif Khan N. and Chitralekha Mahanta, “Hybrid Backstepping Control of DC-DC Buck Converters”, in proceedings of 37th National Systems Conference 2013, IIT Jodhpur, India, 5-7, December 2013.

  • Google Scholar Link: https://scholar.google.co.in/citations?user=KQpFFwMAAAAJ&hl=en


    Vinay Kumar Pandey

    Email ID: p.vinay@iitg.ernet.in

    Contact: N/A

    Educational Qualification: B.Tech.,M.Tech.

    Roll Number: 10610230

    Joining Date: 28/12/2010

    Research Interest: Adaptive control, Multiple models, Nonlinear SISO/MIMO systems, TRMS model.

    Thesis Supervisor: Dr.Indrani Kar and Prof. C. Mahanta

    Thesis title:Multiple Model Adaptive Control Design and Analysis for Nonlinear Systems

    Abstract:

    In my research work an adaptive controller using multiple models is proposed for nonlinear SISO/MIMO systems with uncertain parameters. The uncertain parameters are assumed to belong to a closed and bounded region. Multiple identification models are distributed evenly in this region of uncertainty and their unknown parameters are tuned. A second level adaptation scheme is applied to combine all the models efficiently. The proposed method is applied to nonlinear plants with linear/nonlinear parameterizations. The commonly known problems with adaptive control systems like oscillatory transient response, poor parameter convergence and sluggish performance are found to be improved considerably by using this proposed multiple model based adaptive controlle

    Publications:

    Book Chapters

  • Vinay Kumar Pandey, Indrani Kar and Chitralekha Mahanta, "Adaptive Control of Nonlinear Systems Using Multiple Models with Second-Level Adaptation in Systems Thinking Approach for Social Problems, Lecture Notes in Electrical Engineering", Springer India,vol. 327, pp 239-252, 2015.

  • Conferences

  • Vinay Kumar Pandey, Indrani Kar and Chitralekha Mahanta, “Controller design for a 3-DOF helicopter using multiple models with second level adaptation”, accepted in Indian Control Conference (ICC 2017), Jan 4-6, 2017, Guwahati, India.

  • Vinay Kumar Pandey , Indrani Kar and Chitralekha Mahanta, “Control of twin-rotor MIMO system using multiple models with second level adaptation”, Submitted to 4th International Conference on Advances in Control and Optimization of Dynamical Systems (ACODS 2016), Feb 1-5, 2016, Trichy, India.

  • Vinay Kumar Pandey, Indrani Kar and Chitralekha Mahanta,“Multiple Models and Second Level Adaptation for a Class of Nonlinear Systems with Nonlinear Parameterization,” 9th IEEE International Conference on Industrial and Information Systems (ICIIS2014), 15-17 Dec 2014, IIITM Gwalior.

  • Vinay Kumar Pandey , Indrani Kar and Chitralekha Mahanta, “Adaptive Control of Nonlinear systems Using Multiple Models with Second Level Adaptation”, 37th National Systems Conference 2013 (NSC 2013), Dec 5-7, 2013, Jodhpur, India.

  • D.K.Saroj, I.Kar and V.K.Pandey, “Sliding mode controller design for Twin Rotor MIMO system with a nonlinear state observer,” International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013.

  • 2011

    2011 2009 | 2010 | 2012 | 2013 | 2014 |

    Sushanta Kundu

    Email ID: sushanta@iitg.ernet.in

    Contact: +91-8133917546

    Educational Qualification: B.Sc.,M.Sc.,M.Tech.

    Roll Number: 11610204

    Joining Date: 20/07/2011

    Research Interest: MEMS and Energy Harvesting

    Thesis Supervisor: Prof. H.B.Namade

    Thesis title:Piezoelectric Vibration Energy Harvester

    Abstract:

    This work involves mathematical modeling and finite element simulation of piezoelectric vibration energy harvesters. Conventional piezoelectric vibration energy harvester geometrical structure is modified to get higher harvested electrical power density and better device reliability.

    Publications:

    Journals

  • Sushanta Kundu, and Harshal B. Nemade, “Modeling and simulation of a piezoelectric vibration energy harvester,” Procedia Engineering, Elsevier, vol. 144, pp. 568–575, 2016.

  • Conferences

  • Sushanta Kundu, and Harshal B. Nemade, “Vibration energy harvester based on thickness-tapered Cantilever,” Presented in COMSOL conference, Pune, India, 29th – 30th Oct. 2015.


  • Nabanita Adhikary

    Email ID: a.nabanita@iitg.ernet.in

    Contact: 9864428032

    Educational Qualification: B.Engg.

    Roll Number: 11610206

    Joining Date: 21/07/2011

    Research Interest: Sliding Mode Control

    Thesis Supervisor: Dr. Chitralekha Mahanta

    Thesis title:Adaptive backstepping sliding mode control of robot manipulators

    Abstract:

    The research is aimed towards developing a stable and robust controller for MIMO robot manipulator systems. The backstepping algorithm is used to arrive at a sliding surface with the desired dynamics that can be used for regulation as well as trajectory tracking of robot manipulator joints. The controller is also extended to task space control of the manipulator where the end-effector or the tool frame trajectory is controlled. Moreover the implementation of torque control on position commanded robot manipulators is also experimented on so that the interaction control of the manipulator and the external environment can be realized even for position commanded manipulators.

    Publications:

    Journals

  • N. Adhikary, and C. Mahanta, “Integral backstepping sliding mode control for underactuated systems: Swing-up and stabilization of the cart-pendulum system,” ISA transactions, vol. 52, no. 6, pp. 870-880, 2013.

  • Conferences

  • N. Adhikary, and C. Mahanta, “Backstepping sliding mode controller for a co-ordinated links (cool) robot arm,” in 13th International Workshop on Variable Structure Systems (VSS), IEEE, 2014, pp.1-5.

  • N. Adhikary and C. Mahanta, "Adaptive backstepping sliding mode controller with PID sliding surface for a co-ordinated links (COOL) robotic arm." proceedings of the 2015 Conference on Advances In Robotics, ACM, 2015.

  • N. Adhikary,and C. Mahanta, "Hybrid Impedance Control of Robotic Manipulator Using Adaptive Backstepping Sliding Mode Controller with PID Sliding Surface", Accepted for Indian Control Conference , 2017(ICC 2017).

  • N. Adhikary and C. Mahanta,"Kinematic Control of a 6 DOF Robotic Manipulator Using Sliding Mode", Accepted for Indian Control Conference , 2017(ICC 2017).


  • Arghya Chakravarty

    Email ID: c.arghya@iitg.ernet.in

    Contact: +91-8011230564

    Educational Qualification: B.Tech.

    Roll Number: 11610211

    Joining Date: 28/07/2011

    Research Interest: Robust and Adaptive control theory with application to Failure tolerance in aerospace systems

    Thesis Supervisor: Dr. Chitralekha Mahanta

    Thesis title:Fault Tolerance in Aerospace Systems

    Abstract:

    Currently, my research is focused on the design of actuator fault tolerant control strategies for nonlinear uncertain systems with relevance to aircraft control applications. Further, the control schemes is also aimed at achieving an expanded flight envelope and should guarantee faithful operation encompassing a wider flight regime. Generally, aircrafts are highly complex nonlinear systems and are exposed to rugged environmental conditions in due course of flight operations. Hence, these systems are extremely vulnerable to sudden malfunctioning of its components leading to undesired system behavior. Actuators being an integral component of an aircraft system would inevitably be prone to such faults in the form of partial loss of effectiveness or complete failures. In absence of a self-repairing control module, these eventualities of fault/failures onboard, may often lead to degraded system performance or even instability culminating in catastrophic accidents with high casualties. In consequence, recent decades have witnessed increasing demands for high levels of aircraft reliability and onboard flight safety eventually leading to the inception of a new control paradigm widely known as Fault Tolerant Control (FTC). Aircraft autopilots equipped with such an FTC module would sufficiently be able to manage faulty situations and assist the crew in rapidly recovering from the adverse effects of actuator failures through subsequent compensation of failure induced uncertainties followed by system redundancy. However as stated earlier, nonlinear complex dynamics, actuator magnitude and rate constraints combined with structural limitations of the aircraft system, pose numerous challenges to the problem of an effective FTC design. On account of the same, fault tolerant control design for aircraft systems has received considerable attention from the research community and has made significant progress in recent decades.

    Publications:

    Journals

  • “Design and implementation of a neuro-adaptive backstepping controller for buck converter fed PMDC-motor”, Tousif Khan Nizami, Arghya Chakravarty and Chitralekha Mahanta in Control Engineering Practice (IFAC), Vol. 58, pp. 78-87, January, 2017.

  • “Actuator fault-tolerant control (FTC) design with post-fault transient improvement for application to aircraft control”, Arghya Chakravarty and Chitralekha Mahanta in International Journal of Robust and Nonlinear Control (Wiley), Vol. 26, Issue 10, pp. 2049-2074, July 10, 2016.

  • Conferences

  • A. Chakravarty, T. K. Nizami and C. Mahanta, “Real Time Implementation of an Adaptive Backstepping Control of Buck Converter PMDC-Motor Combinations”, accepted for presentation in 3rd Indian Control Conference (ICC), IIT Guwahati, Assam, India, 2017

  • A. Chakravarty and C. Mahanta, “Compensating Actuator Failures in Near Space Vehicles using Adaptive Finite Time Disturbance Observer based Backstepping Controller”, in proceedings of 2016 European Control Conference (ECC), Aalborg, Denmark, 2016.

  • A. Chakravarty and C. Mahanta, “Finite Time Actuator Failure Compensation of Near Space Vehicles using an Observer based Backstepping Method”, in proceedings of LAMSYS-2016, Satish Dhawan Space Centre, Sriharikota, ISRO, 2016.

  • T. K. Nizami, A. Chakravarty and C. Mahanta, “Finite time current observer based adaptive backstepping control of buck converters,” in proceedings of 2015 Annual IEEE India Conference (INDICON), New Delhi, India, 2015, pp. 1-6.

  • A. Chakravarty and C. Mahanta, “Backstepping enhanced adaptive second order sliding mode controller to compensate actuator failures”, 2014 Annual IEEE India Conference (INDICON), Pune, 2014, pp. 1-5.

  • A. Chakravarty and C. Mahanta, “Actuator fault tolerant control scheme for nonlinear uncertain systems using backstepping based sliding mode”, 2013 Annual IEEE India Conference (INDICON), Mumbai, 2013, pp. 1-5.

  • Google Scholar Link: https://scholar.google.com/citations?user=AnThmtsAAAAJ


    D. Viswanath

    Research Interest:Sliding mode control

    Thesis Supervisor: Dr.S. Krishnaswamy

    Thesis title:N/A

    Abstract:N/Aread more

    Email ID:d.viswanath@iitg.ac.in

    Contact:N/A

    Saurabh Pandey

    Email ID: p.saurabh@iitg.ernet.in

    Contact: +91-8811-909-756

    Educational Qualification: B.Tech.

    Roll Number: 11610240

    Joining Date: 26/12/2011

    Research Interest: Relay Control Systems, System Identification

    Thesis Supervisors: Prof.Somanath Majhi

    Thesis title:N/A

    Abstract:

    In this work, a single relay feedback experiment has been conducted for identification of a class of single input and single output (SISO) processes in terms of stable, unstable first order plus dead time (FOPDT), second order plus dead time (SOPDT) models using describing function (DF) and state space approach. The equivalent gain of relay is derived using DF approximation and utilized in the derivation of mathematical expressions for the identification of various time delay processes. For an accurate identification, a set of generalized mathematical expressions using state space approach have been deduced. From the expression of SOPDT process output, mathematical expressions for the identification of stable and unstable FOPDT processes are deduced. During real time scenarios, limit cycle output suffers from the adverse effects, such as bias, noise etc., due to presence of unknown uncertainties at the output. Moreover, noise alleviation at the process output is achieved through Fast Fourier Transforms. In addition, methods for elimination of static load disturbances over the process output have also been investigated during the model identification.

    Publications:

    Journals

  • Saurabh Pandey and Somanath Majhi, “Limit cycle-based exact estimation of FOPDT process parameters under input/output disturbances: a state-space approach”, published in International Journal of Systems Science(Taylor and Francis) ,vol. 48, Issue 1, pp. 118-128, 2017. DOI:10.1080/00207721.2016.1160455 (Impact factor 1.947).

  • Prasenjit Ghorai, Somanath Majhi and Saurabh Pandey, “Modelling and Identification of Real Time Processes based on Non-zero Setpoint Autotuning Test”, published in Journal of Dynamics, Measurement and Control (Transactions of ASME), 2016. DOI: 10.1115/1.4034802 (Impact Factor 1.119).

  • Prasenjit Ghorai, Somanath Majhi and Saurabh Pandey, “Dynamic Model Identification of a Real-Time Simple Level Control System”, published in Journal of Control and Decision (Taylor and Francis), vol. 3, Issue 4, pp. 248-266, 2016. DOI: 10.1080/23307706. 2016.1216337.

  • Ragunath Bajarangbali, Somanath Majhi and Saurabh Pandey, “Identification of FOPDT and SOPDT process dynamics using closed loop test”, published in ISA Transactions (Elsevier), vol. 53, Issue 4, pp. 1223-1231, 2014. DOI: http://dx.doi.org/10.1016 /j.isatra. 2014.05.014. (Impact Factor 2.600).

  • Conferences

  • Prasenjit Ghorai,Saurabh Pandey and Somanath Majhi, “State Space Approach for Identification of Real-Time Plant Dynamics”, accepted for presentation in 3rd IEEE Indian Control Conference (ICC), to be held at IIT Guwahati, India, 2017.

  • Prasenjit Ghorai,Saurabh Pandey and Somanath Majhi, “A New Relay Feedback Scheme for Identification of Non-minimum Phase Processes with Time Delay”, accepted for presentation in 55th IEEE Conference on Decision and Control (CDC), to be held at Las Vegas, Nevada, USA, 2016.

  • Saurabh Pandey and Somanath Majhi, “Limit Cycle based Identification of Second Order Processes with Time Delay”, in proceedings of 2nd IEEE Indian Control Conference (ICC), IIT Hyderabad, India, pp. 438-443, 2016. DOI: 10.1109/ INDIANCC.2016.7441171.

  • Saurabh Pandeyand Somanath Majhi, “Frequency Domain based Identification of Processes using Limit Cycle Information”, in proceedings of 1st IEEE International Conference on Industrial Instrumentation and Control (ICIC), COEP Pune, India, pp. 66-70, 2015. DOI: 10.1109/IIC.2015.7150713.

  • Saurabh Pandey and Somanath Majhi, “Feedback Test for Identification of a Class of SISO Processes Using Process Reaction Curve”, in proceedings of 3rd National Symposium on Advances in Control & Instrumentation (SACI), BARC, India, 2014.

  • Saurabh Pandey and Somanath Majhi, “Estimation of Process Dynamics Using Biased Relay Feedback Approach”, in IFAC proceedings of Advances in Control and Optimization of Dynamical Systems (Elsevier), vol. 47, Issue 1, pp. 913-916, 2014. DOI: 10.3182/20140313-3-IN-3024.00020.

  • Saurabh Pandey and Somanath Majhi, “Relay based Identification of Process Dynamics under Noisy Environment”, in proceedings of 1st IEEE International Conference on Control, Automation, Robotics and Embedded Systems (CARE), IIITDM Jabalpur, India, pp. 1-6, 2013. DOI: 10.1109/CARE.2013.6733709.

  • Saurabh Pandey and Somanath Majhi, “Identification of System Dynamics in Presence of Measurement Noise”, in proceedings of 10th IEEE India International Conference (INDICON), IIT Bombay, India, pp. 1-6, 2013. DOI: 10.1109/INDCON. 2013 .672 6001.

  • Google Scholar Link: https://scholar.google.com/citations?user=eX5MxNQAAAAJ&hl=en


    2012

    2012 2009 | 2010 | 2011 | 2013 | 2014 |

    Gargi Baruah

    Email ID: gargi.baruah@iitg.ernet.in

    Contact: 9085856967

    Educational Qualification: B.Engg.,M.tech.

    Roll Number: 126102007

    Joining Date: 02/08/2012

    Research Interest: Fractional order Controller Design

    Thesis Supervisors: Prof. Somanath Majhi and Prof. Chitralekha Mahanta

    Thesis title:N/A

    Abstract:

    Fractional order controllers have dynamical behaviour described by fractional calculus or by the differential equations, the orders of which might not be an integer number. This report deals with such controllers, especially series form of Fractional order proportional and derivative FOPID controllers. The objective of designing such controllers is to validate and showcase the results in the area of identification and control, and then to show their usefulness by applying them to different plant models which can be FOPDT or SOPDT in nature. The most practical plant models are considered here i.e. the plants having delay or dead time. For tuning the controllers, relay based auto-tuning is used. Both offline and online methods are discussed here. A relay with hysteresis is chosen for the auto-tuning method and describing function method is used for approximating it. The proposed method is then verified through the simulations of a class of process models. Also experimental analysis is carried out on a real time Coupled Tank System (CTS).

    Publications:

    Journals

  • Baruah G., Majhi S. and Mahanta C., Auto-tuning of Fractional order PID controller for a class of processes and experimental validation using a Coupled Tank System, Journal of Control and Systems Engineering.

  • Conferences

  • Baruah G., Majhi S. and Mahanta C., Relay Based Identification of a Simple Fractional Order Time Delay System, Proc. of IEEE 1st Indian Control Conference, IIT Madras, 5-7 January 2015.

  • Baruah G., Majhi S., Mahanta C., On-Line Tuning of Fractional Order Pi Controller for an FOPDT System, Proc. of IEEE 1st Indian Control Conference, IIT Madras, 5-7 January 2015.

  • Baruah G., Majhi S. and Mahanta C., Design of FOPID Controllers for SOPDT Process, Proc. of IEEE International Conference on Energy, Power & Environment-Towards Sustainable Growth, NIT Shillong, 12-13 June 2015.

  • Baruah G., Majhi S. and Mahanta C., Fractional Order PID Controller Design For an FOPDT Model by Online Tuning Method, Proc. of IEEE International Conference on Industrial Instrumentation & Control, COEP, Pune, 28-30 May 2015.

  • Baruah G., Majhi S., Mahanta C., Fractional Order PID Controller Design for an SOPDT Model by Online Tuning Method, Proc. of IEEE 2nd Indian Control Conference, IIT Hyderabad, 4-6 January 2016.


  • Radak Blange

    Research Interest:Sliding mode control

    Thesis Supervisor: Prof. A. K. Gogoi & Prof. C. Mahanta

    Thesis title:N/A

    Abstract:N/Aread more

    Email ID:radak@iitg.ac.in

    Contact:N/A


    Suman Roy

    Email ID: suman.roy@iitg.ernet.in

    Contact: 9085317356

    Educational Qualification: B.Tech.,M.Engg.

    Roll Number: 126102024

    Joining Date: 28/12/2012

    Research Interest: Pseudorandom Number Generation

    Thesis Supervisor: Dr.S. Krishnaswamy

    Thesis title:N/A

    Abstract:

    Pseudorandom number generators (PRNGs) find many applications ranging from cryptography, error correcting codes to spread spectrum communication. Due to simplicity in hardware implementation, Linear Feedback Shift Registers (LFSRs) are commonly used as basic building blocks for the PRNGs. Sequences that are generated by LFSRs with primitive characteristic polynomials have some statistical properties associated with randomness. However, these sequences have low linear complexity which is highly undesirable from cryptographic point of view. Various methods have been suggested to overcome this shortcoming. One such method is the use of Nonlinear Feedforward Generators (NLFGs). Conventional LFSRs do not efficiently utilize the parallelism provided by word based processors. In order to overcome this shortcoming various word based configurations of LFSRs have been suggested. Sigma LFSR is one of them. Analysis of sequences generated by the NLFGs over a sigma LFSR has been studied.

    Publications:

    Conferences

  • S. Roy, S. Krishnaswamy and P. Goyal, On Nonlinear Feedforward Logic for sigma-LFSRs, 22nd International Symposium on Mathematical Theory of Systems and Networks, 2016.


  • Karnika Biswas

    Email ID: karnika@iitg.ernet.in

    Contact: 9954917688

    Educational Qualification: B.Tech.,M.tech.

    Roll Number: 126102025

    Joining Date: 28/12/2012

    Research Interest: Optimal Control,Intelligent Control,Robotics,Embedded Systems.

    Thesis Supervisors: Dr.Indrani Kar

    Thesis title:Optimal Moving Target Tracking by Mobile Robot

    Abstract:

    Moving target tracking is gaining popularity in many different application areas including but not limited to service robotics, inspection and monitoring, rescue and surveillance. A mobile robot deployed for this purpose needs to actively interact with the changing environment as it shares its workspace with other robots and/or human beings. The objective of this research is to find out the optimal state and optimal control trajectories for tracking a moving target in a dynamic environment. Dynamics is rendered to the environment by dint of motion of the target and the obstacles, where, any other human/robot than the target may be perceived as obstacles. The study includes designing of suitable algorithms for implementation in real time on Patrolbot, an indoor mobile robotics platform from the Pioneer family.

    Publications:

    Conferences

  • Biswas, K. and Kar, I. (2014). On reduction of oscillations in target tracking by artificial potential field method, in Proceedings of 9th International Conference on Industrial and Information Systems (ICIIS), pages 1–6

  • Biswas, K. and Kar, I. (2016). An optimal solution to fixed time horizon moving target tracking with obstacle avoidance, in Proceedings of European Control Conference (ECC) (To Appear in IEEExplore)

  • Biswas, K. and Kar, I. Maximum principle in finding free final-time optimal trajectory of mobile robot for moving target tracking, (Accepted in Indian Control Conference 2017 to be held in January 2017)

  • Biswas, K., Kundu, A., and Kar, I. Real-time energy-optimal moving target tracking by holonomic vehicle, (Accepted in Indicon 2016 to be held in December 2016)

  • Biswas, K.and Kundu, A. (2012). An improved method of frenet-serret based guidance of a non-holonomic wmr. In International Conference on Communications, Devices and Intelligent Systems (CODIS), pages 488–491

  • Biswas, K., Mazumder, O., and Kundu, A. (2012). Multichannel fused emg based biofeedback system with virtual reality for gait rehabilitation. In 4th International Conference on Intelligent Human Computer Interaction(IHCI), pages 1–6

  • 2013

    2013 2009 | 2010 | 2011 | 2012 | 2014 |

    Uddipana Dowerah

    Email ID: d.uddipana@iitg.ernet.in

    Contact: +91-9085857290

    Educational Qualification: B.Tech.

    Roll Number: 136102006

    Joining Date: 30/07/2013

    Research Interest: Cryptography (Homomorphic Encryption)

    Thesis Supervisor: Dr.S. Krishnaswamy

    Thesis title:Fully Homomorphic Encryption

    Abstract:

    Fully Homomorphic Encryption is a cryptographic development that enables computation on encrypted data by illegitimate parties without the knowledge of the actual data. The objective of this research is to construct a fully secure fully homomorphic cryptosystem based on multivariate polynomial rings and work towards its implementation in the practical world.


    Arobindra Saikia

    Email ID: arobindra@iitg.ernet.in

    Contact: N/A

    Educational Qualification: N/A

    Roll Number: N/A

    Joining Date: N/A

    Research Interest: Control Systems

    Thesis Supervisor: Prof. Chitralekha Mahanta

    Thesis title:N/A

    Abstract: N/A

    Publications:

    Conferences

  • Arobindra Saikia and Chitralekha Mahanta, "Integrated Control of Active Front Steer Angle and Direct Yaw Moment Using Second Order Sliding Mode Technique", IEEE First International Conference on Power Electronics, Intelligent Control and Energy systems (ICPEICES 2016), July 4-6, 2016, Delhi Technological University.


  • Trusna Meher

    Email ID: trusna@iitg.ernet.in

    Contact: +91-9678241879

    Educational Qualification: B.Tech.

    Roll Number: 136102020

    Joining Date: 02/01/2014

    Research Interest: Identification and control of Nonlinear systems

    Thesis Supervisors: Prof.Somanath Majhi

    Thesis title:Identication of Block-Oriented Nonlinear Systems using Relay Feedback

    Abstract:

    Relay feedback is widely used in process control industries, but its application is limited mainly to linear systems. My research focuses on use of relay feedback for the identification of simplest block oriented non-linear models i.e, Wiener and Hammerstein.

    2014

    2012 2009 | 2010 | 2011 | 2012 | 2013 |

    Kamakshi Manjari

    Email ID: kamakshi@iitg.ernet.in

    Contact: +91-9085-817-933

    Educational Qualification: B.Tech.

    Roll Number: 146102017

    Joining Date: 22/07/2014

    Research Interest: Model Predictive Control

    Thesis Supervisors: Prof.Somanath Majhi

    Thesis title:N/A

    Abstract:

    Model Predictive Control (MPC) is an optimal control strategy which uses a model to predict the future behavior of the plant. An optimization problem is solved in a finite future time interval and the first control input is implemented . MPC is mainly preferred because it can handle constraints to give better performance. One of the difficulty in MPC is the number of tuning parameters available is more as compared to conventional controller i.e. PID. So research has been going on to reduce the number of tuning parameters.


    Abhijit Mazumdar

    Email ID: abhijit.mazumdar@iitg.ernet.in

    Contact: +91-9613184474

    Educational Qualification: B.Tech.

    Roll Number: 146102019

    Joining Date: 22/07/2014

    Research Interest: Control Over Communication constraints

    Thesis Supervisors: Prof. Somanath Majhi and Dr.S. Krishnaswamy

    Thesis title:N/A

    Abstract:

    Networked Control Systems (NCSs) are spatially distributed systems where the various subsystems, e.g. sensors, controllers and actuators communicate with each other through some shared networks. NCSs provides many advantages e.g. low wiring cost, remote control etc. However inclusion of shared communication medium introduces some serious issues like Time delay, Packet loss, Quantization. Design of the NCSs becomes very complicated because of the aforementioned issues. My work is to investigate the impact of these issues on the performance of NCSs.

    Mriganka Biswas

    Email ID: b.mriganka@iitg.ernet.in

    Contact: +91-9474-301-403

    Educational Qualification: B.Tech.(E.E.) From WBUT.,M.E.(Control System) From BIT Mesra

    Roll Number: 146102032

    Joining Date: 26/12/2014

    Research Interest:Model Predictive Control,Non Linear Control,Control of Power Converters

    Thesis Supervisors: Prof.Somanath Majhi

    Thesis title:N/A

    Abstract:N/A

    Publications:

    Conferences

  • Madhusudan Dey, Mriganka Biswas, Santu Ghosh, Sarbani Chakaraborty,“Real Time Pulse Processors for Physics Experiments-Simulation and Implementation”,IEEE Sponsored International Conference ICSPCT-2014,Ajmer Govt. Engineering College, Ajmer, Rajasthan.

  • Mriganka Biswas, Madhusudan Dey, Sarbani Chakraborty,“Digital Synthesis of Triangular Pulse Shape in Real Time for γ ray Spectroscopy”,IEEE & IETE sponsored “National Conference on Emerging Trends in Engineering and Science (ETES-14)”,Asansol Engineering College,West Bengal.


  • Sumi Phukan

    Email ID: s.phukan@iitg.ernet.in

    Contact: +91-9706129288

    Educational Qualification: B.Tech.

    Roll Number: 146102036

    Joining Date: 26/12/2014

    Research Interest: Robotics,Robot Motion Planning

    Thesis Supervisor: Dr. Chitralekha Mahanta

    Thesis title:Synchronization control of dual arm robotic manipulators

    Abstract:

    The main objective of my work is to design a robust synchronized controller to control a dual arm robotic manipulator. The synchronization control schemes not only guarantee the asymptotic convergence of position tracking errors but also concern with how these errors converge to the equilibrium point. The proposed control algorithm must ensure that each manipulator tracks its desired trajectory while synchronizing its motion with the other manipulator's motion so that the differential (or synchronization) position error of the manipulators converge to zero. Both desired position and orientation of the end-effectors will be taken into consideration which makes the controller to be more general.

    Gautam Sethia

    Email ID: gautam.sethia@iitg.ernet.in

    Contact: +91-7664889660

    Educational Qualification: B.Tech.

    Roll Number: 146102041

    Joining Date: 26/12/2014

    Research Interest: State observer design, Relay System

    Thesis Supervisors: Prof. Somanath Majhi and Dr. Sisir Kumar Nayak

    Thesis title:SOC Estimation of Li-ion Battery

    Abstract:

    Accurate state of charge (SOC) estimation of battery is one of the most challenging tasks for promoting the commercialization of electric vehicles (EV’s). The battery management system (BMS) is a vital part in EV’s and needs to operate precisely in order to achieve improved performance, cost effectiveness, increased security, extended lifespan etc. The available power in a battery can be directly obtained from the SOC information and hence it is imperative to get its value accurately for best performance of EV’s. SOC estimation of a Li-ion battery consists of three steps: modelling of L-ion battery, parameter estimation of Li-ion battery model and states observation of battery dynamics. The RC equivalent circuit model is used for the purpose of modelling of Li-ion battery. They are simple and reasonably accurate. A novel approach for parameter identification of a battery model using relay feedback approach is suggested using MATLAB/SIMULINK. For the verification of this technique, a practical circuit will be made to observe the changing and discharging characteristics. With the help of those characteristics, the parameters of battery can be estimated. For state estimation, higher order sliding mode observer, super twisting sliding mode observer, integral sliding mode observer, advanced kalman filter techniques etc will be used. Hardware implementation will also be done for these results for verification purpose.