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Design and Implementation of a State-feedback Controller Using LQR Technique

by Aamir Shahzad1,*, Shadi Munshi2, Sufyan Azam2, Muhammad Nasir Khan3

1 Mechanical Engineering Department, The University of Lahore, Lahore, Pakistan
2 Mechanical Engineering Department, Umm Al-Qura University, Makkah, Saudi Arabia
3 Electrical Engineering Department, The University of Lahore, Lahore, Pakistan

* Corresponding Author: Aamir Shahzad. Email: email

Computers, Materials & Continua 2022, 73(2), 2897-2911. https://doi.org/10.32604/cmc.2022.028441

Abstract

The main objective of this research is to design a state-feedback controller for the rotary inverted pendulum module utilizing the linear quadratic regulator (LQR) technique. The controller maintains the pendulum in the inverted (upright) position and is robust enough to reject external disturbance to maintain its stability. The research work involves three major contributions: mathematical modeling, simulation, and real-time implementation. To design a controller, mathematical modeling has been done by employing the Newton-Euler, Lagrange method. The resulting model was nonlinear so linearization was required, which has been done around a working point. For the estimation of the controller parameters, MATLAB LQR function has been utilized. Simulation has been performed for the designed controller and it also has been implemented and tested over the real inverted pendulum. From the results, it is vivid that the designed controller keeps the inverted pendulum in an upright position and rejects the disturbances and falling under gravitational force by adjusting the rotation of the horizontal link.

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Cite This Article

APA Style
Shahzad, A., Munshi, S., Azam, S., Khan, M.N. (2022). Design and implementation of a state-feedback controller using LQR technique. Computers, Materials & Continua, 73(2), 2897-2911. https://doi.org/10.32604/cmc.2022.028441
Vancouver Style
Shahzad A, Munshi S, Azam S, Khan MN. Design and implementation of a state-feedback controller using LQR technique. Comput Mater Contin. 2022;73(2):2897-2911 https://doi.org/10.32604/cmc.2022.028441
IEEE Style
A. Shahzad, S. Munshi, S. Azam, and M. N. Khan, “Design and Implementation of a State-feedback Controller Using LQR Technique,” Comput. Mater. Contin., vol. 73, no. 2, pp. 2897-2911, 2022. https://doi.org/10.32604/cmc.2022.028441



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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