基于改进模型参考自适应算法的永磁同步电机转动惯量辨识  

Inertia Identification of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive System Algorithm

作　　者：王飞宇[1] 田井呈 卓克琼 赵朝会[1] 

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《电机与控制应用》2016年第8期63-67,87,共6页Electric machines & control application

摘　　要：针对使用固定增益系数的模型参考自适应(MRAS)算法在稳定性与收敛响应速度不可同时兼得的问题,介绍了基于MRAS算法的永磁同步电机转动惯量辨识的原理,研究了该算法中自适应增益系数对电机转动惯量辨识结果的影响。探讨了一种依据辨识参数偏差而实时改变的变增益系数的方法,并通过MATLAB/Simulink对参数辨识系统进行了仿真验证。仿真结果表明,该方法收敛速度快,参数辨识结果振荡幅值小,稳定性好。According to the algorithm＇s problem which could not acquire performance both in the stability and response speed, introduced the principle of the inertia identification of permanent magnet synchronous motor using model reference adaptive, and studied the function of adaptive gain coefficient in PMSM＇s rotational inertia identification algorithm. Present a novel method to identify the inertia which could change the gain coefficient in real time was presented, and the simulation in MATLAB/Simulink was given. The simulation results showed that the novel method had the performance of fast convergent speed, small oscillation amplitude results and good stability.

关 键 词：永磁同步电机 模型参考自适应 转动惯量辨识 

分 类 号：TM351[电气工程—电机]