Affiliation:
1. School of Automation, Beijing Institute of Technology, 5 South Street, Zhongguancun, Haidian District, Beijing 100081, China
Abstract
The rotating inverted pendulum is a nonlinear, multivariate, strongly coupled unstable system, and studying it can effectively reflect many typical control problems. In this paper, a parameter self-tuning fuzzy controller is proposed to perform the balance control of a single rotating inverted pendulum. Particle swarm optimization is used to adjust its control parameters, and simulation experiments are performed to show that the system can achieve stability with the designed parametric self-tuning fuzzy controller, with control performance better than that of the conventional fuzzy controller. Furthermore, the leader-follower control strategy is used to realize the cooperative control of multiple rotating inverted pendulums. Two QUBE-Servo 2 rotating inverted pendulums are used for a cooperative pendulum swing-up experiment and stabilization experiment, and the effectiveness of the proposed cooperative control strategy is verified.
Funder
National Natural Science Fund of China
National Science Foundation
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Cited by
3 articles.
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1. Research on key technologies of aseptic tubing transfer system based on STM32;Fourth International Conference on Sensors and Information Technology (ICSI 2024);2024-05-06
2. Design of a Rotating Inverted Pendulum Control System Based on Qube-Servo2;Communications in Computer and Information Science;2023-10-30
3. Control of an Underactuated Mechanical System with Reinforcement Learning Compensation;2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE);2023-10-25