Identification of Friction Parameters Based on Genetic Algorithm in Servo Control System
نویسنده
چکیده
The friction is detrimental to the normal work of the servo system, but the friction mechanism is very complicated. In this paper, Tustin friction model is used as the friction parameter identification, reflecting the phenomenon of friction in the system, and laying the foundation for the friction compensation. Tustin model is a nonlinear friction one, and the friction properties can be reflected better with four friction parameters. In this paper, we use genetic algorithms for parameter identification of these parameters, and its search capabilities and more robust than traditional algorithms, to be more accurate recognition results.
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