TY - GEN
T1 - A Comparative Study of Pole Placement and LQR in Cart Inverted Pendulum Controller Design
AU - Li, Chih Hsien
AU - Hsiao, Ting
AU - Lu, Yun Xu
AU - Kornmaneesang, Woraphrut
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The inverted pendulum systems have been well recognized as agreeable benchmarks for evaluating various aspects in control systems. It also mimics numerous real-world important physical systems. Many control algorithms have been implemented for the inverted pendulum system. This paper is presented to conduct the comparative study of the pole placement and linear quadratic regulator (LQR) control designs for the cart inverted pendulum system. The dynamic model of the cart inverted pendulum system, including the belt drive system as an actuator, is modelled. Its linearized model is adopted in the controller design based on the pole placement and LQR methods. Simulations were carried out using the full nonlinear model. The control responses from 5 different controllers designed by the two control techniques are simulated to comprehend the benefits of LQR over the pole placement. The simulation results show higher degrees of freedom in the LQR method in manipulating control performance in the individual states.
AB - The inverted pendulum systems have been well recognized as agreeable benchmarks for evaluating various aspects in control systems. It also mimics numerous real-world important physical systems. Many control algorithms have been implemented for the inverted pendulum system. This paper is presented to conduct the comparative study of the pole placement and linear quadratic regulator (LQR) control designs for the cart inverted pendulum system. The dynamic model of the cart inverted pendulum system, including the belt drive system as an actuator, is modelled. Its linearized model is adopted in the controller design based on the pole placement and LQR methods. Simulations were carried out using the full nonlinear model. The control responses from 5 different controllers designed by the two control techniques are simulated to comprehend the benefits of LQR over the pole placement. The simulation results show higher degrees of freedom in the LQR method in manipulating control performance in the individual states.
UR - https://www.scopus.com/pages/publications/85206246540
UR - https://www.scopus.com/pages/publications/85206246540#tab=citedBy
U2 - 10.1109/ARIS62416.2024.10680003
DO - 10.1109/ARIS62416.2024.10680003
M3 - Conference contribution
AN - SCOPUS:85206246540
T3 - International Conference on Advanced Robotics and Intelligent Systems, ARIS
BT - 2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024
Y2 - 22 August 2024 through 24 August 2024
ER -