Wang Guoqiang, Zhang Huilin
School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
ISA Trans. 2022 Sep;128(Pt A):675-685. doi: 10.1016/j.isatra.2021.09.003. Epub 2021 Sep 16.
In this paper, an improved speed adaptive flux sliding-mode observer (FSMO) is presented for the sensorless control of surface-mounted permanent magnet synchronous motor (PMSM) drives. First, to suppress the chattering of the traditional FSMO, an algorithm for online adjusting the observer gain is designed. In this algorithm, a transition mode is introduced between the existing reaching and sliding modes, and an error criterion function with speed and current is constructed for the three motion modes. Second, to reduce the rotor speed estimation error, a new speed adaptive estimation method is presented instead of the traditional phase-locked loop (PLL). In this method, the adaptive law for estimating the speed is derived using Lyapunov stability and model reference adaptive theories. Meanwhile, the physical meaning of the speed adaptive law is illustrated. Finally, the proposed FSMO scheme is implemented on a TMS320F28335 digital signal processing (DSP) microcontroller-based surface-mounted PMSM sensorless control experimental bench. Test results demonstrate the excellent dynamic performance, robustness and stability of the proposed FSMO under various operating conditions.
本文提出了一种改进的速度自适应磁通滑模观测器（FSMO），用于表面贴装式永磁同步电机（PMSM）驱动的无传感器控制。首先，为抑制传统FSMO的抖振，设计了一种在线调整观测器增益的算法。在该算法中，在现有的趋近模式和滑模之间引入了一种过渡模式，并针对三种运动模式构建了一个包含速度和电流的误差准则函数。其次，为减小转子速度估计误差，提出了一种新的速度自适应估计方法来替代传统的锁相环（PLL）。在该方法中，利用李雅普诺夫稳定性和模型参考自适应理论推导了速度估计的自适应律。同时，阐述了速度自适应律的物理意义。最后，在所搭建的基于TMS320F28335数字信号处理（DSP）微控制器的表面贴装式PMSM无传感器控制实验平台上实现了所提出的FSMO方案。测试结果表明，所提出的FSMO在各种运行条件下均具有优异的动态性能、鲁棒性和稳定性。
