Parameters identification of a novel micro-positioning stage based on adaptive real-coded genetic algorithm

This paper presents the identification of a novel micro-positioning stage driven by voice coil motors (VCM) with hysteresis phenomenon, which is described by Bouc-Wen model. Real-coded genetic algorithm (RGA) method with adaptive crossover and mutation is implemented to identify the parameters simultaneously. In comparison of the experiment and simulations results, it can be found that the adopting Bouc-Wen model to the positioning system is feasible and the method utilized in this paper ensures the simulation results in good agreement with experiment.