摘要
针对扩展卡尔曼滤波算法在永磁同步电机故障检测中存在的不足,提出了一种基于隐性卡尔曼滤波的实时递推检测算法,应用隐性卡尔曼滤波的预测输出值与实际输出值相比较得到残差进行故障检测。仿真结果表明,与扩展卡尔曼滤波方法相比,该方法的检测精确度更高,计算速度更快,可以用来做实时的故障检测。
Aiming at the fault detection for Permanent Magnet Synchronous Motor（ PMSM）, an Unscented Kalman Filtering（UKF） based real-time recursion detection method is brought out with the consideration of the flaws of traditional Extended Kalman Filtering （EKF）. The residual generated by comparing the UKF estimated value and the actual value is used to detect the fault. The simulation results show that the method has the character of higher precision of the fault detection and faster calculation velocity. It can be used as real-time fault detection.
出处
《电机与控制学报》
EI
CSCD
北大核心
2007年第1期33-36,共4页
Electric Machines and Control
基金
国家部委资助项目(41319040202)
关键词
永磁同步电机
故障检测
隐性卡尔曼滤波
扩展卡尔曼滤波
permanent magnet synchronous motor（PMSM）
unscented kalman filtering（UKF）
extended Kalman filtering （EKF）
fault detection
