电工技术学报2012，Vol.27Issue(7)：26-33,8.
在线建模的开关磁阻电机四象限运行无位置传感器控制
Four-Quadrant Position Sensorless Control of Switched Reluctance Motors Based on On-Line Modeling
摘要
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.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Key words
Switched reluctance motor/on-line modeling/neural network/sensorless/four-quadrant分类
信息技术与安全科学引用本文复制引用
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):26-33,8.基金项目
中国博士后科学基金 （）
江苏省自然科学基金（BK2009526）资助项目 （）
