Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)
Source : 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), IEEE, Kollam, India (2017)
Url : https://ieeexplore.ieee.org/document/8074217
ISBN : 9781509049677
Keywords : aerospace computing, aircraft control, compensation, control engineering computing, control system synthesis, DC motors, disturbance compensation technique, disturbance compensator, Feedback, Feedback control, helicopters, lab helicopter, laboratory model helicopter, linear quadratic control, Linear quadratic regulation (LQR) control, linear quadratic regulation controller, linearized model, mathematical model, nominal linear system, nominal nonlinear laboratory helicopter, nonlinear control systems, Nonlinear equations, Object Tracking, position control, robust compensator (RC), robust control, robust LQR control strategy, robustness, Symmetric matrices, three degree of freedom (3-DOF) laboratory helicopter, trajectory control, trajectory tracking, uncertain systems, uncertainty
Campus : Amritapuri
School : School of Engineering
Department : Robotics and Automation, Electrical and Electronics
Year : 2017
Abstract : A robust LQR control strategy for the effective trajectory tracking of a 3-DOF laboratory model helicopter is discussed. Parametric uncertainties and various external disturbances are considered in the system. The newly designed control strategy includes the feedback control by linear quadratic regulation (LQR) controller and the disturbance compensation technique. Initially the linearized model of the nominal nonlinear laboratory helicopter is obtained and a linear quadratic regulation controller is designed for the nominal linear system, and a disturbance compensator is added to the system, to reduce the effects of the external disturbances. The trajectory tracking errors of the system is reduced under various disturbances by using the proposed scheme.
Cite this Research Publication : S. Sini, A. Vivek, and Nandagopal, J. L., “Trajectory tracking of 3-DOF lab helicopter by robust LQR”, in 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), Kollam, India, 2017