Parameter identification of Bouc–Wen dynamic model for magnetorheological shimmy damper based on improved simulated annealing algorithm

Abstract

Magnetorheological (MR) shimmy damper has a good application prospect in aircraft landing gear shimmy control as a semi-active vibration control device; however, its non-linear and hysteretic characteristics bring difficulties to the control and restrict performance. It is necessary to develop a dynamic model of the damper that can effectively show these characteristics. This study is based on the experimental data of the damping force characteristics of MR shimmy damper with different control currents. Bouc–Wen model, apply to describe non-linear and hysteretic characteristics, was selected to establish the dynamic model of damping force, displacement and velocity. This study proposed an improved simulated annealing (SA) algorithm, which can improve the efficiency of identification, to identify the parameters of the model. Comparing with the original algorithm, the improved SA algorithm has the same solution quality and better performance in computational efficiency. The relationships between the identified parameters and the control current were obtained by curve fitting, and the experimental data with different amplitudes and frequencies are used to verify the result. It is shown that the established model can accurately show the dynamic characteristics of the damper under different excitation.