Parameter Identification of Bouc-Wen Model applied to Piezoelectric Actuator Modeling Based on Adaptive Genetic Algorithm

摘要：

　　In this paper,the Bouc-Wen model widely used in describing hysteretic systems is applied to piezoelectric actuator (PEA) modelling and real-coded adaptive genetic algorithm (GA) is adopted to identify the model parameters simultaneously.By dynamically adjusting the crossover probability and mutation probability,adaptive genetic algorithm improves the performance of local convergence and premature convergence and enhances search speed and precision of the simple genetic algorithm.Then some experiments are conducted to verify the efficiency of the identification method with satisfactory parameter identification results.

关键词： Parameter identification Bouc-Wen model piezoelectric actuator, adaptive genetic algorithm

作者: Xiang-Dong Liu Chun-Xia Cai Ning Dong Yan Qu

作者单位: Key Laboratory for Intelligent Control & Decision of Complex Systems, Beijing Institute of Technolog Wu Zhou Engineering and Design Institute, Beijing, China

会议类型: 国际会议

会议名称: 第16届机电一体化技术国际会议

会议地点: 天津

会议语种:英文

页码: 44-47

在线出版日期: 2012-10-16（万方平台首次上网日期，不代表论文的发表时间）