基于自适应遗传算法的异步电机无速度传感器控制系统

Based on Adaptive Genetic Algorithm Asynchronous Motor Speed Sensorless Control System

异步电机的无速度传感器控制,由于具备免维护、独立性强等优点,目前已经逐步进入到了实际应用阶段,然而在当前的控制技术之中基本上都是采用传统的PI控制器,整定其参数比较困难。将自适应遗传算法引入到异步电机无速度传感器控制的参数寻优之中,仿真结果表明,经过自适应遗传算法寻优的控制系统具有极好的静态和动态性能,同时鲁棒性较佳。

The asynchronous motor speed sensorless control, because have free maintenance, independence is strong wait for an advantage, at present already gradually entered the practical application stage, however, in the current control technology in basically all is to use traditional PI controller, setting the parameter comparison difficult. This paper attempts to the adaptive genetic algorithm is introduced into the asynchronous motor speed sensorless control parameter optimization in, the simulation results show that, after adaptive genetic algorithm optimization control system has good static and dynamic performance, and better robustness.