基于蚁群优化的超声波电动机系统动态模糊辨识建模

摘要

The model of ultrasonic motor system is an important premise of designing motor motion controller. Fuzzy modeling method of ultrasonic motor system was given. Ant colony optimization and least square method were used to obtain the unknown parameters of membership functions and fuzzy rules, respectively. The two-input and one-output Takagi-Sugeno model was established,and the model can well show the nonlinear dynamic relationship of ultrasonic motor system.%超声波电动机系统的模型是设计电机运动控制器的重要前提.给出了超声波电动机系统的模糊建模方法,分别采用蚁群算法和最小二乘方法获取隶属函数及模糊规则的待定参数,建立了能够表征超声波电动机系统非线性动态关系的二输入单输出Takagi-Sugeno模糊模型.