基于IGA的USM速度智能控制系统研究

针对超声波电机参数的时变性、系统内在的非线性和系统的强耦合性等特点,提出基于免疫遗传算法的超声波电机模糊神经网络速度控制策略。实验结果表明,与传统模糊神经网络速度控制相比,采用该方法的系统能较好地实现设定的超声波电机速度参考模型的自适应跟踪,响应速度脉动小,具有控制灵活、适应性强、控制精度高、鲁棒性强等优点。

Research on USM speed intelligent control system based on IGA

Aimed at the ultrasonic motor's characteristics of the time-varying parameters,the system of non-linear system and the strong coupling,the fuzzy neural network control strategy for ultrasonic motor speed based on immune genetic algorithm is presented.The results show that,using the methods of the system can be well set to achieve the speed of ultrasonic motor model reference adaptive tracking compared with the traditional fuzzy neural network speed control.It has the advantages of small response speed pulse...