摘要
基于扩展卡尔曼滤波器(EKF)的电动机速度估算器,通常采用试错法来对EKF的噪声矩阵进行试验调整,这样造成EKF估算器具有效率低和估算精度不高的问题。研究使用遗传算法(GA)来优化EKF,得到最佳噪声矩阵。在感应电动机直接转矩控制(DTC)的Simulink仿真中,使用最佳噪声矩阵参数的EKF来估算电动机速度,得到了较好的估算效果。
The noise matrices of EKF speed estimator are usually tuned experimentally using a trial-and-error method in EKF observer,causing EKF do not yield the best drive performance.The genetic algorithm（GA）is used to optimize EKF for getting the best noise matrices.In the induction motor direct torque control（DTC）of the simulink simulation,using the EKF of the best noise matrices to estimate the motor speed.The results show that the proposed method has a good effect on the speed estimation.
出处
《新技术新工艺》
2016年第7期62-65,共4页
New Technology & New Process
