应用改进卡尔曼滤波算法估算BLDCM的转子位置和转速  

Application of Kalman Filter Algorithm in the Rotor Positioning and Velocity BLDCM

作　　者：龙驹[1] 

机构地区：[1]西华大学电气信息学院,四川成都610039

出　　处：《长江大学学报（自然科学版）》2011年第2期87-89,282,共3页Journal of Yangtze University(Natural Science Edition)

基　　金：西华大学人才基金资助项目(0429126)

摘　　要：以无传感器永磁无刷直流电动机(BLDCM)作为研究对象,运用改进的卡尔曼滤波算法对其转子位置和转速的估算进行了优化设计,该算法应用三次样条函数代替常规卡尔曼滤波算法中非线性函数的偏导数进行计算。仿真试验表明,采用该算法能提高估算精度。By taking sensorless permanent magnet brushless DC motor for the study,a modified Kalman filter algorithm is used to estimate its rotor position and speed of optimized design,the algorithm for the conventional Kalman filter algorithm model is imprecise and easy divergence of the shortcomings of the application of cubic spline function in place of conventional Kalman filter in non-linear function of the partial derivative for adaptive computing,and simulation analysis and verification are used to confirm the use of the algorithm and improve the estimation accuracy.

关 键 词：无传感器永磁无刷直流电动机 卡尔曼滤波算法 三次样条函数 MATLAB仿真 

分 类 号：TM33[电气工程—电机]