摘要
根据感应电机矢量变换控制原理 ,提出了一种基于人工神经网络速度控制器的感应电机矢量控制系统。为了提高系统的鲁棒性 ,采用了在线辨识技术 ,对参数的变化实时补偿。计算机仿真表明 。
This paper presents a control scheme for an induction motor drive which consists of neural network identification ,neural network load toque estimator and reference model based on neural network speed controller. In order to improve the robustness of the system, we use on-line identification technique to compensate the variation of the parameters. The computer simulation results show that the system has good speed servo performance.
