在线建模的开关磁阻电机四象限运行无位置传感器控制

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摘要基于在线建模提出了一种开关磁阻电机无位置传感器控制方法。建立了以相电流和磁链为输入、转子位置角度为输出的径向基神经网络模型, 以轴编码器实时获得的转子位置角度为学习样本, 对开关磁阻电机进行了在线建模。提出了静止状态下激励脉冲法与运行状态下滑模观测器相结合的四象限运行无位置传感器控制策略, 实现了电机无传感器运行。实验结果表明, 电机转子位置估计误差小于2 , 象限间切换可靠, 具有良好的动态和静态性能, 为大功率开关磁阻电机无传感器控制提供了一种易于实现的方案。

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	张旭隆
	谭国俊
	蒯松岩
	刘送永
	王其虎

关键词 ：开关磁阻电机, 在线建模, 神经网络, 无位置传感器, 四象限

Abstract：A position sensorless control method based on on-line modeling is presented for switched reluctance motors(SRM). Radial basis function(RBF) neural network of rotor position estimation for sensorless SRM control is established with two input variables: flux linkage and phase current. Real-time rotor position angle obtained from shaft encoder is adopted as learning sample data, and on-line modeling of SRM is realized. Excitation pulse method combined with sliding mode observer(SMO) strategy is proposed and four-quadrant SRM sensorless operation is achieved. Experimental results indicate that rotor position estimation error less than 2° and switching between quadrants is reliable, and the system has good dynamic and static performance. The proposed method is helpful for high-power sensorless control of SRM.

Key words： Switched reluctance motor on-line modeling neural network sensorless four-quadrant

收稿日期: 2011-03-21 出版日期: 2014-03-20

PACS:

TM352

基金资助:中国博士后科学基金(20100481176)和江苏省自然科学基金(BK2009526)资助项目。

作者简介: 张旭隆男, 1984年生, 博士研究生, 研究方向为开关磁阻电机及其控制。谭国俊男, 1962年生, 教授, 博士生导师, 研究方向为大功率交直流传动系统及电力电子变流技术。

引用本文:

张旭隆, 谭国俊, 蒯松岩, 刘送永, 王其虎. 在线建模的开关磁阻电机四象限运行无位置传感器控制[J]. 电工技术学报, 2012, 27(7): 26-33. Zhang Xulong, Tan Guojun, Kuai Songyan, Liu Songyong, Wang Qihu. Four-Quadrant Position Sensorless Control of Switched Reluctance Motors Based on On-Line Modeling. Transactions of China Electrotechnical Society, 2012, 27(7): 26-33.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2012/V27/I7/26

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