未知系统动态估计器在永磁同步电机控制中的应用

Application of Unknown System Dynamic Estimator in Permanent Magnet Synchronous Motor Control

为了解决永磁同步电机速度控制系统容易受到如电压、电流谐波、模型误差等干扰的问题,提出基于未知系统动态估计器的抗干扰控制算法,并构建可确保闭环系统稳定性的闭环控制策略,以改善控制系统性能.在建立永磁同步电机经典矢量控制系统的基础上,主要研究了永磁同步电机控制系统中未知系统动态估计器设计方法及其稳定性、收敛性,并根据未知系统动态估计器设计永磁同步电机控制系统的速度、电流控制器.仿真分析表明,算法对隐极式永磁同步电机的控制电流、转矩、速度响应有一定的提升,在抑制系统动态干扰方面比传统的PID控制方法更有优势.

In order to solve the problem that the permanent magnet synchronous motor speed control system is susceptible to disturbances such as voltage,current harmonics,model errors,etc.,an anti-disturbance control algorithm based on the unknown system dynamic estimator is proposed,and a closed-loop control strategy that can ensure the stability of the closed-loop system is constructed to improve the control system performance.On the basis of establishing the classic vector control system of permanent magnet synchronous motor,the design method of unknown system dynamic estimator and its stability and convergence proof in the control system of permanent magnet synchronous motor are mainly studied.The speed and current controller of permanent magnet synchronous motor control system is designed according to the unknown system dynamic estimator.The simulation analysis shows that the algorithm can improve the control current,torque and speed response of the hidden pole permanent magnet synchronous motor to a certain extent,and it has more advantages than the traditional PID control method in suppressing the dynamic disturbance of the system.