An efficient parameters identification method of normalized Bouc-Wen model for MR damper

A normalized Bouc-Wen model is adopt in the modelling to describe the hysteresis of magneto-rheological (MR) damper. An efficient parameters identification method of normalized Bouc-Wen model for MR damper is introduced in this paper. The parameters identification method of normalized Bouc-Wen model proposed in this paper is divided into three steps. Firstly, the physical meaning of normalized Bouc-Wen model are fully taken into consideration and the least-squares method is used to identify the parameters. Then, a Genetic Algorithm (GA) is utilized to identify the remaining parameters with an appropriate fitness function. The simulation results show that, compared to the other two method, the method proposed in this paper is more accurate, more efficient and less sensitive to data noise.