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

摘要：

　　This paper is concerned with the parametric identification based on immune particle swarm optimization (IPSO) algorithm for Bouc-Wen model of piezoelectric ceramic actuators (PCA).IPSO algorithm is an algorithm that introduces the immunological memory and selection mechanism of concentration of antibody of immune system to PSO algorithm.It is used to identify unknown parameters of Bouc-Wen model,one of the most widely used parametric models of hysteresis in mechanics.The experimental results reveal that IPSO algorithm has better precision and convergence.

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

作者: Ning Dong Hong-Juan Li Xiang-Dong Liu Chun-Xia Cai

作者单位: Key Laboratory for Intelligent Control & Decision of Complex Systems, Beijing Institute ofTechnology, Beijing100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China

会议类型: 国际会议

会议名称: 中国微米纳米技术学会第14届学术年会、第3届国际年会暨第6届微米纳米技术“创新与产业化国际研讨与展览会(CSMNT2012 & ICMAN2012)

会议地点: 杭州

会议语种:英文

页码: 1-6

在线出版日期: 2012-11-04（万方平台首次上网日期，不代表论文的发表时间）