Anti-noise Simulation of the Hysteresis Mathematic Model Using Computationally-efficient GA

The extended Bouc-Wen model is one of the most widely used hysteresis models in mechanics.It has the capability to emulate the behavior of a wide class of hysteretic systems.However multi parameters have plagued its further application because the capability of computer and algorithm available currently can not meet the need completely.Thus to exploit an effective parallel algorithm is very essential.This paper is committed to propose a novel Genetic Algorithm (GA) so as to identify the parameters of the Bouc-Wen model with noise disturbance efficiently and accurately.Finally a large amount of noise-involved experimental data obtained from a real MR damper is employed to verify the proposed approach has the capability to estimate the satisfactory parameters of the Bouc-Wen model.
Hysteresis Model Parameter estimation Noisy data GA
Xiaomin Xue Qing Sun Xiaohong Wu
Department of Civil Engineering,Xian Jiaotong University,Xian,China School of Aerospace,Xian Jiaotong University,Xian,China
国际会议
上海
英文
725-728
2012-10-19(万方平台首次上网日期,不代表论文的发表时间)