基于预测自适应的永磁同步电机无传感器控制

针对传统永磁同步电机无传感器控制动态性能差和转速信号观测精度低的问题,设计了新型永磁同步电机无传感器控制方法.文章采用在线梯度下降法设计二阶线性扩张状态观测器,该二阶线性扩张状态观测器能够在永磁同步电机负载扰动或转速突变情况下准确快速对电机转速实时估计;同时将预测自适应滑模控制系统应用于转速环节,通过预测自适应估计永磁同步电机扰动变化量进行实时电流补偿.仿真结果表明:二阶线性扩张状态观测器能够对转速准确快速实时估计,且抗干扰能力强;预测自适应滑模控制策略有效缩短电机速度响应时间,显著削弱电机转速、电磁转矩的抖振,表现出良好的动态性和鲁棒性.

Sensorless control of permanent magnet synchronous motor based on predictive adaptation

The traditional sensorless control system of permanent magnet synchronous motor has the problems of poor dynamic performance and low accuracy of speed signal observation.In order to solve these problems,a new sensorless control method for permanent magnet synchronous motor is designed. The online gradient descent method is used to design a second-order linearly expanded state observer.The second-order linearly expanded state observer can accurately and quickly estimate the speed of permanent magnet synchronous motor under the condition of motor load disturbance or sudden speed change. In this paper the adaptive sliding mode control system is applied to the speed control system, and the predictive adaptive method is used to estimate the disturbance of permanent magnet synchronous motor for real-time current compensation. The simulation results show that the second-order linearly extended state observer designed can accurately and quickly estimate the speed, and has strong anti-interference ability; the predictive adaptive sliding mode control strategy effectively shortens the speed response time of the motor, significantly weakens the chattering of the motor speed and electromagnetic torque, showing good dynamics and robustness.