Identification Method of Nonlinear Systems with Friction Based on Genetic Algorithm
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.
Genetic algorithm system identification nonlinear polynomial model precision stage friction
Kenji Nakajima Jun Nakajima Truong Van Khoa Seiji Hashimoto
Department of Electronic Engineering Gunma University1-5-1 Tenjin, Kiryu, Gunma, Japan
国际会议
2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)
武汉
英文
55-58
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）