基于滑模观测器的永磁同步电机无传感器控制系统的优化研究

为了优化传统基于滑模观测器(SMO)的永磁同步电机(PMSM)无传感器控制系统的性能,分析了传统控制系统中相应模块的数学模型和控制算法存在的问题,建立了优化的基于SMO的PMSM无传感器控制系统模型并进行了仿真。通过分析传统SMO的数学模型,在保证SMO满足Lyapunov稳定条件的前提下,根据电机不同工况对滑模增益进行实时优化,提高了SMO的观测性能。为了提高锁相环(PLL)输出信号的质量,在PLL输入端加上低通滤波器,并对低通滤波环节造成的位置角度偏差进行补偿。通过仿真验证上述所采用优化策略的正确性和可行性,结果表明:优化模型在保证系统动态性能的同时能够获得比传统观察系统质量更高的观测信号。

Optimization of Permanent Magnet Synchronous Motor SensorlessControl System Based on Sliding Mode Observer

In order to optimize the performance of sensorless control system of permanent magnet synchronous motor (PMSM) based on sliding mode observer (SMO),the mathematical model and control algorithm of the corresponding module in the traditional control system were analyzed, and the optimal SMO based sensorless control model of PMSM was established and simulated. By analyzing the traditional SMO, the sliding mode gain was optimized in real time according to the different operating conditions of the motor on the premise that the SMO satisfied the Lyapunov stability condition.The performance of SMO was improved. In order to improve the quality of the output signal of the phase locked loop (PLL), a low pass filter was added at the input of the PLL, and the position deviation caused by low pass filter was compensated. The correctness and feasibility of the above optimization strategy was verified by simulation. The results showed that the optimized model could obtain better observation signal than the traditional observation system under the condition of ensuring the dynamic performance of the system.