摘要
从能量转换的观点出发,利用模糊神经网络进行开关磁阻电动机(SRM)的非线性建模,得到了SRM开关角度最优控制规律。以TMS320LF2407A数字信号处理器为控制核心,设计开发了具有智能控制方法的高精度SRM系统。试验结果证明,该系统结构简单、可靠,运行效率高,具有很好的静、动态特性。
The nature characteristic of optimum switch angle strategy of SRM is derived from the energy conversion of SRM. Using a fuzzy-neural network（FNN） , some result about the optimum switch angles have been drawn, according to the optimum switch angles control strategy, a SRD system based on TMS320LF2407A is designed. Practical operation experiments are performed on a 3kW SRM with 8 stator poles and 6 rotator poles. Results have shown that the system is simple with excellent performance.
出处
《电机与控制应用》
北大核心
2008年第1期23-26,57,共5页
Electric machines & control application
关键词
开关磁阻电动机
模糊神经网络
开关角
调速
switched reluctance motor
fuzzy-neural network
switch angle
speed governing
