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一种新型滑模观测器的永磁同步电动机无传感器控制
引用本文:张群,李宏,郑勇.一种新型滑模观测器的永磁同步电动机无传感器控制[J].微特电机,2011,39(8).
作者姓名:张群  李宏  郑勇
作者单位:西北工业大学,陕西西安,710072
摘    要:针对永磁同步电动机反电势滑模观测器低速性能差和系统抖振大的问题,提出了一种基于传统滑模观测器(SMO)来预估转子位置和速度的新方法.切换函数采用饱和函数代替开关函数,通过在传统滑模观测器中引入卡尔曼滤波,利用卡尔曼滤波方法滤除反电势噪声,提高反电势估算精度,从而精确地估算出转速和位置.基于Matlah/Simulink平台,建立了控制系统的仿真模型,对该方法做了验证.仿真试验结果表明:该方法拓宽了滑模观测器低速观测范围,降低了系统的抖振,提高了系统的性能.

关 键 词:永磁同步电动机  无位置传感器  滑模观测器  卡尔曼滤波

Sensorless Control of PMSM Based on a Novel Sliding Mode Observer
ZHANG Qun,LI Hong,ZHENG Yong.Sensorless Control of PMSM Based on a Novel Sliding Mode Observer[J].Small & Special Electrical Machines,2011,39(8).
Authors:ZHANG Qun  LI Hong  ZHENG Yong
Affiliation:ZHANG Qun,LI Hong,ZHENG Yong(Northwestern Polytechnical University,Xi'an 710072,China)
Abstract:Due to the poor performance at low speed and chattering problem existing in traditional sliding mode observers,a new sensorless speed control strategy for a permanent magnet synchronous motor(PMSM) based on traditional sliding mode observer(SMO) was proposed to estimate the rotor position and speed.The traditional switch function was replaced with saturation function to perform switch.And Kalman filter was used in the output of back electromotive force(BEMF) to filter noise.It makes the waveform smooth and ...
Keywords:PMSM  sensorless  SMO  Kalman filter  
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