自适应滤波在永磁同步电机电流环优化中的应用

Adaptive Filter Applied in Optimizing Current Loop of Permanent Magnet Synchronous Motor

分析了永磁同步电机矢量控制中id和iq对电机输出转矩和转速脉动的影响,从改善电流环的反馈输入量id和iq的角度对电流环进行了优化,设计了一种自适应滤波器对变换后的电流进行滤波,和传统的FIR滤波器相比,算法更加简洁,并提出了在线调整收敛系数?可以改变滤波算法的收敛速度。通过实验,证明了该方法的可行性,干扰噪声降低,电机相电流得到了明显的改善,电流环得到了优化,增加了系统的动态响应速度和稳定程度。

This paper analyzes the impact of id and iq on the output torque and speed of PMSM, and optimizes the current loop by improving the feed back input id and iq. An adaptive filter is designed for filtering the current which is translated from ia, ib and ic. Compared to the traditional FIR filter, this algorithm is more concise. And the convergence coefficient ? which could be changed online can adjust the convergence speed of this algorithm. At last, the experiment proved that this method can reduce the noise and improve the output current of PMSM. This system is more stable and its response speed is faster.