基于ISTSMC和改进EKFSMO的PMSM无传感器矢量控制*

Sensorless Field Orientation Control of Permanent Magnet Synchronous Motor Based on ISTSMC and Improved EKFSMO

  • 摘要: 在采用内环矢量控制(Field orientation control,FOC)和外环经典比例积分(Proportional integral,PI)控制的永磁同步电机(Permanent magnet synchronous motor,PMSM)驱动系统中,容易出现外部扰动检测精度低、抖振、速度环超调大等不确定性缺陷。为了解决PI控制的抖振缺点,提高系统抗干扰性,提出了一种积分超螺旋滑模控制(Integral super twisting sliding mode controller,ISTSMC)。为了实现无位置传感器控制以及电机转速与位置的在线估计,采用基于扩展卡尔曼滤波(Extended Kalman filter,EKF) 的滑模观测器,并且设计了一种分段正弦型函数代替传统的基于sgn函数的滑模观测器降低抖振现象。在Matlab/Simulink仿真下,分析了该系统在各种故障扰动、反转运行和负载扰动下的速度响应和检测精度能力。结果证明了所提系统的可行性以及优越的动态性能。

     

    Abstract: In the drive system of permanent magnet synchronous motor(PMSM) controlled by inner-loop field orientation control(FOC) and outer-loop classical proportional integral(PI), it is prone to appear uncertain defects such as low detection accuracy of external disturbance, chattering and large overshoot of speed loop. In order to solve the chattering problem of PI control and improve the anti-interference ability of the system, an integral super twisting sliding mode controller(ISTSMC) is proposed. In order to realize sensorless control and online estimation of motor speed and position, the sliding mode observer based on extended Kalman filter(EKF) is also designed,and a piecewise sinusoidal function is designed to replace the traditional sgn function based sliding mode observer to reduce chattering. In Matlab/Simulink simulation, the speed response and detection accuracy of the system under various fault disturbances, reverse operation and load disturbances are analyzed. The results prove the feasibility and superior dynamic performance of the proposed system.

     

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