摘要
针对带遗忘因子的最小二乘法辨识结果波动大的问题,引入开关控制器,提出了一种新型的最小二乘参数辨识器,当转动惯量发生变化时,通过开关控制对辨识器进行初始化,实现了对参数更快更好的在线辨识。仿真实验表明:该方法克服了传统带遗忘因子的最小二乘辨识器的波动现象,辨识速度快、精度高,可以有效地提高系统性能。
A new identifier based on the recursive least squares algorithm was proposed. A switch controller was introduced to the factor recursive least squares（FFRLS） identifier to overcome the fluctuation. When the moment of the inertia changes, the switch controller initialized the identifier and realized the quick tracking of the parameter. The simulation and experiments showed that this method was free from the fluctuation, the identifying was more quickly and high precision, and it was benefit for the improvement of the performance of the system.
出处
《微特电机》
北大核心
2008年第11期19-22,共4页
Small & Special Electrical Machines
基金
江苏省自然科学基金(BK2007540)
关键词
永磁同步电动机
遗忘因子最小二乘法
转动惯量
参数辨识
permanent magnet synchronous motor （ PMSM ）
forgetting factor least square algorithm
moment of inertia
parameter identification
