Bouc-Wen Model Parameter Identification for Piezoelectric Actuator Using Chaos Particle Swarm Optimization

摘要：

　　This paper mainly proposes a chaos particle swarm optimization (CPSO) to estimate the parameters of piezoelectric actuator (PEA),in which Bouc-Wen model is employed to describe the hysteresis phenomenon.By introducing chaotic disturbance to the simple PSO,this method can obtain optimal solution with high calculation efficiency.Finally some experiments are conducted to demonstrate its feasibility and effectiveness.

关键词： Parameter identification Bouc-Wen model piezoelectric actuator chaos particle swarm optimization

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

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）