基于增益自适应滑模观测的PMSM无传感器控制

Sensorless Control of PMSM Based on Adaptive Gain Sliding Mode Observation

为了进一步抑制传统滑模观测器无位置传感器控制法的抖振现象并获得更精准的转子位置信息,提出一种滑模增益自适应的滑模观测器。首先,以永磁同步电机数学模型为基础,设计自适应算法,构建增益自适应滑模观测器,输出经过滤波处理的反电动势;然后,利用反正切函数法计算并输出转子的转速和角度信号;最后,将矢量控制与增益自适应滑模观测器相结合,通过Matlab/Simulink搭建仿真模型进行验证。仿真结果表明,提出的方法不仅有效抑制了传统滑模观测器抖振现象,还提高了转子位置信息的观测精度,相同条件下转速误差范围缩减为传统观测误差范围的1/7,转子位置误差范围也由(0.015,0.035)rad缩减为(0.024,0.026)rad。

In order to inhibit chattering phenomenon of traditional sliding mode observer without position sensor and obtain more accurate rotor position information,a sliding mode observer with adaptive sliding mode gain was proposed.Firstly,based on the mathematical model of PMSM,an adaptive algorithm was designed to construct a gain-adaptive sliding mode observer,and the filtered back-EMF was output.Then,the arc-tangent function method was used to output the rotor speed and angle signals.Finally,the vector control and the gain adaptive sliding mode observer were combined,and a simulation model was built by Matlab/Simulink to verify it.Simulation results show that the proposed method not only effectively weaken the chattering phenomenon of traditional sliding mode observer,but also improves the estimation accuracy of rotor position information.Under the same conditions,the error range of rotor speed is reduced to one seventh of the traditional observation error range,and the error range of rotor position is reduced from(0.015,0.035)rad to(0.024,0.026)rad.