PMSM变结构MRAS无位置传感器控制研究
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摘要
针对永磁同步电机低速无感运行时系统抖震以及估计转速不准确的问题,将变结构模型参考自适应观测器(SM-MRAS)应用到永磁同步电机无传感器控制中。开展了模型参考自适应观测器的基本原理分析,提出了用连续函数替代传统滑模变结构控制中的开关函数,给出了滑模面和自适应率的设计方法以及优化后的SM-MRAS转速辨识算法的框图,并对该算法的稳定性进行了严格的数学论证。在Matlab软件平台进行了仿真实验。研究结果表明,改进后的变结构模型参考自适应转速辨识算法有效消除了电机在低速时由于频繁开关而造成的系统震荡,避免了电机参数对算法的影响,在很宽的调速范围内都有良好的稳定性能。
Aiming at the problem of system shock and inaccurate estimating speed in a low-speed PMSM sensor-less control,the model reference adaption observer of variable structures( SM-MRAS) was investigated to the PMSM sensor-less control. A method which used a continuous function to replace the switching function in traditional SM-MRAS was presented. The design method of sliding surface and adaptive rate was also presented. A block diagram of optimized SM-MRAS algorithm to identify motor speed was presented with rigorous math proof. This method was tested on the MATLAB. The results show that the model reference adaption observer of variable structures effectively eliminates the system shock causes by frequent switching,and the interference from motor parameter. It also has a good stability over a wide speed range.
Aiming at the problem of system shock and inaccurate estimating speed in a low-speed PMSM sensor-less control,the model reference adaption observer of variable structures( SM-MRAS) was investigated to the PMSM sensor-less control. A method which used a continuous function to replace the switching function in traditional SM-MRAS was presented. The design method of sliding surface and adaptive rate was also presented. A block diagram of optimized SM-MRAS algorithm to identify motor speed was presented with rigorous math proof. This method was tested on the MATLAB. The results show that the model reference adaption observer of variable structures effectively eliminates the system shock causes by frequent switching,and the interference from motor parameter. It also has a good stability over a wide speed range.
引文
[1]贾洪平,贺益康.基于高频注入法的永磁同步电机初始位置检测研究[J].中国电机工程学报,2007,27(15):15-20.
[2]陈东,贺益康,年珩,等.基于滑模观测器的永磁无轴承电机控制[J].电机与控制应用,2008,35(10):9-13.
[3]尹忠刚,张瑞峰,钟彦儒.基于抗差扩展卡尔曼滤波器的永磁同步电机转速估计策略[J].控制理论与应用,2012,29(7):921-927.
[4]王鑫博,白保东,于江华.等.基于改进模糊卡尔曼滤波的感应电机转速估计策略[J].电机与控制学报,2014,18(11):8-14.
[5]陈振,刘向东,靳永强,等.采用抗差扩展卡尔曼滤波磁链观测器的永磁同步电机直接转矩控制[J].中国电机工程学报,2014,18(11):8-14.
[6]夏长亮,祁温雅,杨荣,等.基于RBF神经网络的超声波电机参数辨识与模型参考自适应控制[J].中国电机工程学报,2004,24(7):117-121.
[7]李岚,王娟平.模型参考自适应转速辨识算法比较[J].电气应用,2006,25(4):126-129.
[8]徐静,段芳,江天炎.模糊MRAS方法在永磁同步电机无速度传感器控制系统中的应用[J].电气应用,2015,42(12):55-58.
[9]白浩,崔建华,徐晓辉.永磁无刷直流电机控制器研究及展望[J].机电工程,2004,21(4):59-64.
[10]陈伯时.电力拖动自动控制系统:运动控制系统[M].北京:机械工业出版社,2003.
[11]FUKUMOTO T,HMAMA H,HAYASHI Y.PMSM Position Sensor-less Drive System for Compressors using an Adaptable Observer and Ajustment Method[J].Journal of the Japan Institute of Power Electronics,2006,32(0):37-43.
[12]Hua-Fen LV,Yun-Yue YE.Sensor-less control of lowspeed PMSM based on MRAS[J].Journal of Mechanical&Electrical Engineering.2012,29(3):307-310.
[2]陈东,贺益康,年珩,等.基于滑模观测器的永磁无轴承电机控制[J].电机与控制应用,2008,35(10):9-13.
[3]尹忠刚,张瑞峰,钟彦儒.基于抗差扩展卡尔曼滤波器的永磁同步电机转速估计策略[J].控制理论与应用,2012,29(7):921-927.
[4]王鑫博,白保东,于江华.等.基于改进模糊卡尔曼滤波的感应电机转速估计策略[J].电机与控制学报,2014,18(11):8-14.
[5]陈振,刘向东,靳永强,等.采用抗差扩展卡尔曼滤波磁链观测器的永磁同步电机直接转矩控制[J].中国电机工程学报,2014,18(11):8-14.
[6]夏长亮,祁温雅,杨荣,等.基于RBF神经网络的超声波电机参数辨识与模型参考自适应控制[J].中国电机工程学报,2004,24(7):117-121.
[7]李岚,王娟平.模型参考自适应转速辨识算法比较[J].电气应用,2006,25(4):126-129.
[8]徐静,段芳,江天炎.模糊MRAS方法在永磁同步电机无速度传感器控制系统中的应用[J].电气应用,2015,42(12):55-58.
[9]白浩,崔建华,徐晓辉.永磁无刷直流电机控制器研究及展望[J].机电工程,2004,21(4):59-64.
[10]陈伯时.电力拖动自动控制系统:运动控制系统[M].北京:机械工业出版社,2003.
[11]FUKUMOTO T,HMAMA H,HAYASHI Y.PMSM Position Sensor-less Drive System for Compressors using an Adaptable Observer and Ajustment Method[J].Journal of the Japan Institute of Power Electronics,2006,32(0):37-43.
[12]Hua-Fen LV,Yun-Yue YE.Sensor-less control of lowspeed PMSM based on MRAS[J].Journal of Mechanical&Electrical Engineering.2012,29(3):307-310.