基于模糊神经网络的纯电动车永磁同步电机矢量控制

Vector Control of Permanent Magnet Synchronous Motor for Electric Vehicle Based on Fuzzy Neural Network

纯电动车控制系统对电机控制性能要求较高。提供了一种基于模糊神经网络的永磁同步电机矢量控制方案。以模糊神经网络控制器作为电流调节器,并在速度环引入模糊控制器,将其输出作为电流环的限幅,达到限速的目的。仿真和试验结果表明:对于电动车运行的复杂情况,该方法具有良好的转矩跟踪和电机限速性能。

The electric vehicle control system requires good motor control performance. A permanent magnet synchronous motor vector control scheme based on fuzzy neural network was presented. The fuzzy neural network controller was used as the current regulator. A fuzzy controller was introduced into the speed loop, and its output was used as the limit of the current loop, so as to limit the motor speed. The results of simulation and experiment showed that the method had good torque tracking and motor speed limit performance for the complicated operation of electric vehicles.