会议专题

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

the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

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)