Dynamic Fuzzy Modeling of Ultrasonic Motor Using Ant Colony Algorithm

The model of ultrasonic motor system is an important premise of designing motor motion controller. This paper works out fuzzy modeling method of ultrasonic motor system. Ant colony optimization and least square method are used to obtain the unknown parameters of membership functions and fuzzy rules, respectively. The two-input and one-output Takagi-Sugeno model is established, and the model can well show the nonlinear dynamic relationship of ultrasonic motor system.