同步电机参数在线小扰动辨识技术研究

针对目前同步电机参数辨识方法存在的对输入扰动信号要求严、不能计及非线性因素等缺陷,对同步电机参数在线小扰动辨识技术进行了研究.构建了同步电机参数在线采集系统,建立了同步电机的恰当电路模型和状态方程,采用最大似然估计法在轻载和低励磁状态下辨识电机的线性参数,然后在磁路饱和状态下对饱和参数进行辨识修正,最后在大扰动的情况下,对参数和模型进行检验、修正.仿真计算结果与实测数据吻合较好,证明了文中所提出的同步电机参数辨识技术的有效性.

Technique research of on-line parameter identification under min-disturbance for synchronous machine

In order to avoid the defects in the present methods that can not consider non-line factors and require input signal with little disturbance,a technique of on-line parameter identification under min-disturbance was studied for the synchronous machine.The on-line acquisition system,circuit model and state equation of the synchronous machine were established.By using maximum likelihood algorithm,line parameters were identified under the light load and low excitation,and the saturation para-(meters) were modified under the saturation magnetic circuit,and then the model and parameters of the synchronous machine were verified and revised under large disturbance.The simulation calculation result matches with the measured data perfectly,so the technique of on-line parameter identification is effective.