Chaotic Particle Swarm Optimization Algorithm Parametric Identification of Bouc-Wen hysteresis Model for Piezoelectric Ceramic Actuator

摘要：

　　A chaotic particle swarm optimization (CPSO) algorithm is proposed by introducing chaos state into the original Particle Swarm Optimization (PSO) which aims to solving the flaws of easy plunging into local optimum and losing search ability in the last period for the fast particle velocity decrease.CPSO algorithm takes advantage of the ergodicity,randomicity,and regularity of chaos to make chaotic searching for the global extremun at the same time with the particle swarm optimization.This algorithm synthesizes the high efficiency of global optimization of PSO algorithm and the ergodicity and randomicity of local search of chaotic algorithm.This paper utilizes aforementioned algorithm to identify the Bouc-Wen hysteresis model for piezoelectric ceramic actuators (PCA).The experimental results show that the model identified by CPSO algorithm has better performance than that by PSO algorithm.

关键词： Chaotic Particle Swarm Optimization Bouc-Wen Identification Piezoelectric Ceramic Actuator

作者: Ning Dong Hongjuan Li Xiangdong Liu

作者单位: Key Laboratory for Intelligent Control & Decision of Complex Systems, Beijing Institute of Technology, Beijing100081, China;School of Automation, Beijing Institute of Technology, Beijing100081, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 2435-2440

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）