基于模糊神经网络和PI控制的异步电机位置控制系统

提出一种用于异步电机位置控制的模糊神经网络(fuzzy neural network,FNN)控制器.其控制系统采用Sugeno型FNN和比例积分(proportional integrate,PI)控制进行构建.在进行试验测试之前,利用实验数据库和梯度算法对模糊神经网络进行在线训练.利用DS1104型DSP控制卡实现控制算法.利用该控制器对异步电机进行位置控制,在电机施加非线性负载和发生参数扰动的条件下,对控制系统的功能以及鲁棒性进行测试,试验结果表明,该控制系统能够保证电机稳定有效的工作.

Position Control System of Induction Motor Drive Based on Fuzzy Neural Network PI Controller

A fuzzy neural network (FNN) controller which is used for position controlled of induction mo-tor drive was proposed. A Sugeno type FNN and a proportional integrate controller was adopted for the pro-posed control system. Before the experimental studies, the FNN - PI controller was trained on-line using ex-perimental data's. DS1104 digital signal processor control card was used to implement the control algorithm. The proposed FNN - PI controller was used for the position control of induction motor drive. The performance and the robustness of the control system was tested for nonlinear motor loads and parameter variations. Exper-imental result shows that this controller ensures stable and efficient work of the induction motor.