摘要
针对使用试错法的扩展卡尔曼滤波器(EKF)观测异步电机转速效率低下和观测精度不够高的问题,研究了利用遗传算法优化在EKF中需要花费大量时间调整的EKF协方差和权系数矩阵的方法。Simulink仿真表明在矢量控制下优化后的EKF在速度观测中具有效率高、稳定性好和精确度高的特点。
Observing the asynchronous motor speed with EKF has low efficiency and low accuracy . The GA is used to optimize the noise covariance and weight matrices, which requires much time. The Simulink simulation shows that the proposed method has high efficiency, good stability and high accuracy in speed estimation.
出处
《机械与电子》
2016年第8期44-47,共4页
Machinery & Electronics
基金
昆明理工大学学生课外学术科技创新基金(2015YB017)
