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.
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.
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2012, Vol. 27 
