模糊+PID控制在电力机车直流调速系统中的应用

Appication of Fuzzy+PID in Locomotive Speed Control

针对当前电力机车调速系统存在的一些问题,简要分析了直流电力机车调速原理,提出了控制系统的硬件结构,并且设计出Fuzzy+PID复合结构的控制器,提高了控制系统的动态响应速度和稳态误差;同时利用RBF神经网络自整定PID参数解决了PID控制中的参数整定问题。

For the problem in speed-control system of electric locomotive, the article has briefly analyzed the principle of speed-regulation, proposed the hardware architecture of speed-control system, and designed the controller of the Fuzzy ＋ PID composite structure, improved the dynamic responding speed and the steady-state error of the control system. Simultaneously, decided the PID parameter using the RBF neural network self regulating to solve the parameter problem in PID control.