首页 | 本学科首页   官方微博 | 高级检索  
     


Stable control strategy for a second-order nonholonomic planar underactuated mechanical system
Authors:Xuzhi Lai  Peiyin Xiong  Min Wu
Affiliation:1. School of Automation, China University of Geosciences, Wuhan, People's Republic of China;2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, People's Republic of Chinalaixz@cug.edu.cn;4. School of Information and Electrical Engineering, Hunan University of Science &5. Technology, Xiangtan, People's Republic of China;6. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, People's Republic of China
Abstract:This paper presents a stable control strategy for a planar four-link active–passive–active–active (APAA) underactuated mechanical system. The control objective is to move its end-point from any initial position to any target position. First, the controllers are designed to move the first link to the target angle which ensures the target position is within the reachable area of the planar three-link passive–active–active (PAA) system. Meantime, the system is reduced to a planar virtual Pendubot. Then, the periodic controllers are designed based on the nilpotent approximation model to make the first link return to the target angle and all angular velocities converge to zeroes, where the fuzzy modulating is added to adjust the convergence of angular velocities. Thus, the system is reduced to a planar virtual PAA system. Next, the control is divided into two stages, and based on the angle constraint relationships, the target angles of the planar virtual PAA system for the target position are obtained by using the online particle swarm optimisation algorithm. Each stage controllers are designed according to the target angles, so the end-point of the planar APAA system is controlled to the target position. Finally, the validity of the control strategy is demonstrated via simulations.
Keywords:Underactuated mechanical system  position control  nilpotent approximation  PSO algorithm
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号