Identification method of nonlinear systems with friction based on Genetic Algorithm

Abstract

Genetic Algorithm (GA) is an optimization procedure which can be applied to the identification of the nonlinear structure of a dynamic model by using experimental data. In this paper, the GA is introduced to identify the precision stage with the nonlinear friction. By means of the GA approach with a nonlinear polynomial model, the structure as well as its coefficients can be modeled accurately, and the resulting model provides a useful physical meaning. The efficiency of the proposed GA-based identification is verified by the experiments using the precision positioning equipment.