摘要
传统永磁同步电机(PMSM)矢量控制策略的电流环动态响应较慢,研究人员往往采用过采样方法以加以改进。然而在实际工作中的驱动器开关管换相时刻,因电路杂散参数等因素容易产生高频电流脉冲,过采样容易引入这些电流奇异点进而极大影响PMSM的控制精度和系统的正常工作。针对这一问题,本文提出一种基于扩展卡尔曼滤波(EKF)的PMSM尖峰电流噪声滤除方法,并对传统EKF方法中噪声协方差矩阵的选取策略进行改进,根据检测到的电流噪声自适应改变EKF算法中的协方差矩阵项以滤除偶然脉冲干扰。仿真和实验结果表明,所提方法对于高频尖峰噪声的滤除具有较好的效果,同时拥有较强的参数鲁棒性,可以满足实际系统的需要。
The dynamic response of the current loop of the traditional vector control strategy of permanent magnet synchronous motor(PMSM)is slow,so researchers often use the oversampling method to improve it.However,high frequency current pulses are easy to be generated during the commutation time of the driver switch tube due to the stray parameters of the circuit,and these current singulas are easy to be introduced into the oversampling,which greatly affects the control accuracy of PMSM and the normal operation of the system.To solve this problem,this paper proposed a filter method for PMSM peak current noise based on extended Kalman filter(EKF),and improved the selection strategy of noise covariance matrix in the traditional EKF method,and adaptively changes the covariance matrix term in the EKF algorithm according to the detected current noise to filter out the occasional pulse interference.The simulation and experimental results show that the proposed method has good effect on filtering high-frequency peaking noise,and has strong parameter robustness,which can meet the needs of practical systems.
作者
刘轶
LIU Yi(The Sixth Army Representative Room of the Beijing Bureau in Beijing,Beijing 100094,China)
出处
《微电机》
2024年第5期33-38,共6页
Micromotors
关键词
永磁同步电机
扩展卡尔曼滤波
尖峰电流
permanent magnet synchronous motor
extended Kalman filter
peak current
