摘要
提出一种基于遗传算法优化的异步电机参考模型模糊自适应矢量控制调速系统,其异步电机模糊自适应速度辨识机构可根据参考模型输出与被控可调模型输出之差及其变化率,产生一个模糊自适应信号,控制被控可调模型的输出趋于参考模型的输出。仿真和实验表明,该系统具有良好的动态特性,在稳态精度上也优于普通的模型参考自适应系统,为无速度传感器异步电机矢量调速系统提供了一种新的控制方法。
A genetic algorithms-based asynchronous motor reference model fuzzy adaptive vector control AC drive system was presented.According to the difference between the reference model output and the adjustable model output,the induction motor speed adaptive fuzzy identifier produced a fuzzy adaptive signal to control adjustable model output and made it tend to the reference model output.The simulation and experimental results prove both feasibility and reliability of the system which providing a new control method for AC speed adjusting system.
出处
《化工自动化及仪表》
CAS
北大核心
2011年第2期198-202,共5页
Control and Instruments in Chemical Industry
基金
中南林业科技大学青年科学基金项目(2008032B)
关键词
交流调速
模型参考自适应
模糊控制
遗传算法
AC variable speed
model reference adaptive system
fuzzy control
genetic algorithms
