Qualification: 
M.Tech, B-Tech
nandagopaljl@am.amrita.edu

Nandagopal J. L. currently serves as Assistant Professor (Sr.Gr.) at the Department of Electrical and Electronics Engineering at Amrita School of Engineering, Amritapuri. Mr. Nandagopal received his B.Tech. Degree from University of Kerala in Electrical & Electronics Engineering. He received his M. Tech. Degree in Guidance & Navigational Control from College of Engineering, Trivandrum in the year 2012. He is associated with Amrita Vishwa Vidyapeetham from July 2012 onwards. Mr. Nandagopal is currently pursuing his Doctoral studies at the Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri.

Awards & Recognitions

  1. Conference Chair for  NCTT 2015 at College of  Engineering Trivandrum, during September 2015
  2. Conference Chair for  NCTT 2016 at College of  Engineering Trivandrum, during September 2016
  3. Invited Talk on “ Automation and Control of UAV  using LQR”in connection with STTP on “ Research Issues and Emerging Trends in Control & Automation Engineering” under TEQIP at College of Engg., Karunagapalli, January 2016

Membership

  • Life member of Indian Society for Technical Education (ISTE)

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2016

Journal Article

S. Mohan, L, N. J., and .S, A., “Decoupled Dynamic Control of Unicycle Robot Using Integral Linear Quadratic Regulator and Sliding Mode Controller ”, Journal of Proceedia Technology, vol. 26, 2016.[Abstract]


Unicycle robot is a non-holonomic, non-linear, static unbalance system that has the minimal number of point contact to the ground, therefore it is a perfect platform for researchers to study motion and balance control. This paper focuses on the dynamic modeling of unicycle robot. Two concepts used for modeling unicycle robot are: reaction wheel pendulum and inverted pendulum. The pitch axis is modeled as inverted pendulum and roll axis is modeled as reaction wheel pendulum. The unicycle yaw dynamics is not considered which makes derivation of dynamics relatively simple. For the roll controller, sliding-mode controller has been adopted and optimal methods are used to minimize switching-function chattering. For pitch controller, a Linear Quadratic Regulator controller has been implemented to drive the unicycle robot to follow the desired velocity trajectory. More »»

2016

Journal Article

A. B. Sa, A. Vivek, and L, N. J., “Simulation and Analysis of Integral LQR Controller for Inner Control Loop Design of a Fixed Wing Micro Aerial Vehicle (MAV)”, Global Colloquium in Recent Advancement and Effectual Researches in Engineering, Science and Technology (RAEREST 2016) , vol. 25, pp. 76–83, 2016.[Abstract]


The focus of this paper is on the autopilot control loop design of fixed wing Micro Aerial Vehicles (MAVs).The control methodologies used to design the lateral and longitudinal control are based on Proportional Integral Derivative (PID) and Linear Quadratic Regulator (LQR) with integral action control techniques. The design of these controllers is based on the assumption that the system dynamics can be decoupled to longitudinal and lateral dynamics. A nominal model is chosen among many linear models linearized under various operating conditions. The resulting controllers are simulated in MATLAB® SIMULINK® workspace and results are studied. The simulation results show that both the controllers gives satisfactory performances with or without disturbances, but the LQR controller provides better disturbance rejection and exhibits better overall performance. More »»

2015

Journal Article

N. J. L, Chandran, L., R, R., and Vijay, V., “Design and testing of a novel single-stage half-bridge AC-DC converter for battery charging”, The Journal of CPRI, vol. 12, no. 2, 2015.

Publication Type: Conference Proceedings

Year of Publication Publication Type Title

2016

Conference Proceedings

N. J. L, .S, A., and Mohan, S., “Coupled dynamic control of unicycle robot using integral LQR and sliding mode controller”, International Conference on Proceedings of Materials, Minerals and Energy, PMME 2016. 2016.[Abstract]


Unicycle robot is a non-linear, unbalance system that has the less number of point contact to the ground, therefore it is a best platform for researchers to study balance control and motion. This paper focuses on the dynamic modeling and control of unicycle robot. A coupled nonlinear system dynamics is considered for the controller design. Two different controllers are proposed – integral LQR for pitch dynamics and integral sliding mode for roll dynamics. Simulations performed on MATLAB/SIMULINK platform proved the effectiveness of the proposed controllers.

More »»

Publication Type: Conference Paper

Year of Publication Publication Type Title

2015

Conference Paper

N. J. L and R, L., “Optimal control of Spacecraft Docking System using integral LOR controller”, in 2015 International Conference on Technological Advancements in Power and Energy (TAP Energy), 2015.[Abstract]


An innovative approach to Guidance and Control of Spacecraft Docking System is introduced. Rendezvous and docking or berthing (RVD/B) is a key operational technology, which is required for any mission involving more than one spacecrafts, which successively bring the active vehicle (chaser) into the vicinity of, and eventually into contact with, the passive vehicle (target). A translational exponential Guidance plan is proposed based on the relative range of chaser spacecraft with respect to target. Optimal control loops are developed and simulated using integral LQR strategy to control the relative translational motion between the spacecraft and the space station with minimized thrust profile. More »»

2014

Conference Paper

R. Remya, R.Chandran Lekshmi, and L, N. J., “Design and Simulation of a Single-Stage Half-Bridge AC-DC Converter for Power Factor Correction”, in International Conference On Computation Of Power, Energy, Information and Communication (ICCPEIC), 2014.

2012

Conference Paper

N. J. L, ,, and Lethakumari, R., “Guidance Of Vision Based Spacecraft Docking System”, in 13th National Conference on Technological Trends, College of Engineering , Trivandrum, 2012.

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