永磁同步电机全速范围内无传感控制策略研究

目的 为了提高自动化包装生产线的产品效率和质量，改善永磁同步电机无速度传感器矢量控制系统的性能，针对电机运行于低速时反电动势不易检测以及高速位置精度较低的问题，设计一种基于高频方波注入法和改进滑模观测器的复合观测器。方法 在低速时采用高频方波信号注入法来实现对转子位置信息的估计，在中高速时采用改进的滑模观测器来估计转子位置，通过引入双边界层切换函数和可变滑模增益来加快收敛速度和减小抖振，同时设计基于单神经元PI的锁相环用来解析转子信息，进而提高速度和位置，估计精度。结果 通过与单一的算法进行对比分析，发现复合观测器的位置估算精度得到了提高。结论 Matlab/Simulink仿真实验以及实物验证结果表明，和传统的算法相比，该算法具有位置估计精度高、鲁棒性好等优点。

Sensorless Control Strategy of PMSM in Full Speed Range

The paper aims to design a compound observer based on high frequency square wave injection and improved sliding mode observer to solve the problem that the back EMF is not easy to detect when the motor is running at low speed and the high speed position accuracy is low, to improve the product efficiency and quality of automatic packaging production line and improve the performance of speed sensorless vector control system of permanent magnet synchronous motor (PMSM). The high frequency square wave signal injection method was used to estimate the rotor position information at low speed, and the improved sliding mode observer (ISMO) was used to estimate the rotor position at medium and high speed. Secondly, the double boundary layer switching function and variable sliding mode gain were introduced to speed up convergence and reduce chattering. At the same time, PPL based on the single neuron PI was designed to analyze the rotor information, to improve the speed and position estimation accuracy. Compared with the single algorithm, the position estimation accuracy of the composite observer was improved. Matlab/Simulink simulation experiments and physical verification experiments show that compared with the traditional algorithm, the algorithm has the advantages of high position estimation accuracy and good robustness.