摘要
Abstract
The more accurate the state estimation of a permanent magnet synchronous motor system,the better the fault detection accuracy of the motor system can be improved.Aiming at the problem of insufficient accuracy of fault detection methods for permanent magnet synchronous motor systems based on extended Kalman filter,this paper proposes a high-order extended Kalman filter design for permanent magnet synchronous motor systems,which will achieve more accurate state estimation for permanent magnet synchronous motor systems.First,a state model and measurement model of a permanent magnet synchronous motor system are established,then the nonlinear part of the model is defined as hidden variables,and an extended state model and measurement model in pseudo-linear form are established.Based on the obtained extended linear state model and measurement model,a high-order extended Kalman filter is designed.Simulation results show that for permanent magnet synchronous motor systems,the high-order extended Kalman filter has higher state estimation accuracy than EKF.关键词
高阶扩展卡尔曼滤波器/永磁同步电机/故障检测/隐变量/状态估计伪线性化Key words
high-order extended Kalman filter/permanent magnet synchronous motor/fault detection/hidden variables/pseudo-linearization of state estimation分类
信息技术与安全科学
