异步电机无速度传感器矢量控制系统仿真

Simulation of Speed Sensorless Vector Control System for Induction Motor

针对传统的基于转子磁链的异步电机无速度传感器矢量控制系统具有严重的超调量,鲁棒性不强且带负载能力差等缺陷,对传统的异步电机无速度传感器模型进行改进,提出了将传统异步电机无速度传感器模型中的转速PI(Proportion Integration)调节器与神经网络自适应控制算法相结合,并在转子磁链的电流模型中加入三阶低通滤波器。针对异步电机的启动、突增负载后的转速、转矩以及估计转速的变化情况进行仿真分析,实验表明,改进后的异步电机无速度传感器矢量控制系统明显消除了超调量,有效地提升了系统的鲁棒性,增强了异步电机的带负载能力。

Aiming at many defects of the traditional speed sensorless vector control system of asynchronous motor based on rotor flux linkage,such as serious overshoot,weak robustness and poor load capacity,our object is to improve the traditional speed sensorless model of asynchronous motor.The speed PI(Proportion Integration)regulator in the traditional speed sensorless model of asynchronous motor is combined with the neural network adaptive control algorithm,and a third-order low-pass filter is added to the current model of rotor flux linkage.The simulation analysis is carried out for the start-up of asynchronous motor,the speed torque and the change of estimated speed after sudden load increase.Experiments show that the improved speed sensorless vector control system of asynchronous motor obviously eliminates the overshoot,effectively improves the robustness of the system and enhances the load capacity of asynchronous motor.