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基于二阶滑模和MRAS的PMSM速度与磁链估计
Speed and Flux Estimation of PMSM Based on Second Order SMO and MRAS
【摘要】 针对永磁同步电机无传感器控制系统,提出了一种基于二阶滑模和模型参考自适应的速度估计算法。估计算法直接在旋转坐标下估计电机的感应电动势,用模型参考自适应辨识永磁体磁链,两种方法相结合,实现电机速度的估计。该算法能有效抑制滑模固有的抖振,还能减少永磁体磁链对速度估计的影响,增强系统的鲁棒性。仿真结果验证了该算法的有效性。
【Abstract】 A speed estimation algorithm based on second order sliding mode and model reference was proposed for sensorless control system of permanent magnet synchronous motor(PMSM). The induction electromotive force(emf) of the motor was estimated under rotating coordinates, and the flux of permanent magnet was identified by model reference adaptive identification. The two methods were combined to estimate the speed of the motor. This algorithm can effectively suppress the chattering of the sliding mode and avoid using the low-pass filter. It can also reduce the influence of permanent magnet flux on velocity estimation and enhance the robustness of the system. Simulation results show the effectiveness of the algorithm.
【Key words】 PMSM; speed estimation; flux estimation; second-order sliding mode observer; MRAS;
- 【文献出处】 微电机 ,Micromotors , 编辑部邮箱 ,2021年04期
- 【分类号】TM341
- 【被引频次】6
- 【下载频次】233