Trajectory Tracking and Stabilization Control of Rotary Inverted Pendulum based on LQR and LQT Techniques: Simulation and Experiment
Corressponding author's email:
vmtai.sdh212@hcmut.edu.vnDOI:
https://doi.org/10.54644/jte.75A.2023.1277Keywords:
Rotary Inverted Pendulum system, LQR regulators, LQT tracker, Balancing control, Tracking the trajectoryAbstract
Rotary Inverted Pendulum (RIP) plays a vital role in control engineering. Rotary Inverted Pendulum is a complex, nonlinear, non-minimum-phase and under-actuated system which has various applications in the field of Robotics. The main contribution of this paper is to design and control RIP by using Linear Quadratic Regulator (LQR) controller for stabilization at vertically upright position - the unstable equilibrium point, and Linear Quadratic Tracker (LQT) controller for tracking the desired trajectory. Besides, stability of the closed-loop system is analyzed for ensuring the reliability of the developed controller. The simulation is carried out in MATLAB/Simulink environment, and the proposed controllers have been tested on Rotary Inverted Pendulum hardware that is designed by authors. The analysis and results conducted on the system demonstrate the performance of the control schemes, including stabilization of unstable equilibrium point, tracking the desired trajectory, and system response showing the robustness and effectiveness of methods.
Downloads: 0
References
N. C. Xuan et al., "Design of control laws for rotary inverted pendulum based on LQR and Lyapunov function," in IOP Conference Series: Materials Science and Engineering, 2021, doi: 10.1088/1757-899X/1029/1/012021.
N Setiawan and G N P Pratama, "Application of LQR Full-State Feedback Controller for Rotational Inverted Pendulum," in 4th International Conference on Electrical, Electronics, Informatics, and Vocational Education (ICE-ELINVO 2021), Yogyakarta, Indonesia, 2021, doi: 10.1088/1742-6596/2111/1/012006.
B. G. H. Kumar and E. Vimal, "Adaptive Dynamic Programming Based Linear Quadratic Regulator Design for Rotary Inverted Pendulum System," NVEO - Natural Volatiles & Essential Oils, vol. 8, no. 5, pp. 3221-3241, 2021.
I. Chawla and A. Singla, "Real-Time Control of a Rotary Inverted Pendulum using Robust LQR-based ANFIS Controller," International Journal of Nonlinear Sciences and Numerical Simulation, vol. 19, no. 3-4, pp. 379-389, 2018.
I. Chawla and A. Singla, "Real-Time Stabilization Control of a Rotary Inverted Pendulum Using LQR-Based Sliding Mode Controller," Arabian Journal for Science and Engineering, vol. 46, pp. 2589–2596, 2021.
H. V. Nghi et al., "A LQR Neural Network Control Approach for Fast Stabilizing Rotary Inverted Pendulums," International Journal of Precision Engineering and Manufacturing, vol. 23, pp. 45–56, 2022.
F. F. M. E. Sousy et al., "Robust Adaptive Super-Twisting Sliding Mode Stability Control of Underactuated Rotational Inverted Pendulum With Experimental ValidationRobust Adaptive Super-Twisting Sliding Mode Stability Control of Underactuated Rotational Inverted Pendulum With Experi," IEEE Access, vol. 10, pp. 100857-100866, 2022.
J. Huang et al., "Control of Rotary Inverted Pendulum Using Model-Free Backstepping Technique," IEEE Access, vol. 7, pp. 96965-96973, 2019.
V. M. Tai et al., "Back-stepping control for rotary inverted pendulum," Journal of Technical Education Science, no. 59, pp. 93-101, 2020.
Y. Yang, H. H. Zhang, and R. M. Voyles, "Rotary inverted pendulum system tracking and stability control based on input-output feedback linearization and PSO-optimized fractional order PID controller," in Automatic Control, Mechatronics and Industrial Engineering, CRC Press, 2019, p. 6.
V. M. Tai et al., "Design of Input-Output Feedback Linearization Control for Rotary Inverted Pendulum System," Journal of Technical Education Science, no. 69, pp. 26–35, 2022.
R. C. B. Rego et al., "Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems," Engineering Applications of Artificial Intelligence, vol. 107, pp. 1-13, 2022.
A. Pandey and D. M. Adhyaru, "Robust control design for rotary inverted pendulum with unmatched uncertainty," International Journal of Dynamics and Control, 2022, doi: 10.1007/s40435-022-01047-8.
M. L. Levent, Omer Aydogdu, "Adaptive State Feedback Control Method Based on Recursive Least Squares," Elektronika ir elektrotechnika, vol. 28, no. 4, pp. 27-34, 2022.
V. A. Khoa et al., "Model and control algorithm construction for rotary inverted pendulum in laboratory," Journal of Technical Education Science, no. 49, pp. 32-40, 2018.
K. Ogata, Modern Control Engineering, 5th Edition, Saddle River, NJ, USA: Prentice Hall, 2005.
D. S. Naidu, Optimal Control System, Pocatello, Idaho, USA: CRC Press, 2003.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 Journal of Technical Education Science

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.