摘要
为了实现表贴式永磁同步电机(SPMSM)参数在线辨识,提出了一种基于α-β域电机模型下的模型参考自适应在线辨识策略。该方法在α-β坐标系下,利用SPMSM的α轴和β轴电压、电流及其偏差,借助Lyapunov稳定性理论建立参数辨识模型,并推导出待辨识参数的自适应率,保证了辨识系统的稳定性和参数的收敛,同时快速有效在线辨识出了定子电阻和电感。仿真结果表明该方法的有效性和快速性。
In order to achieve online identification parameters of surface-permanent magnet synchronous motor （SPMSM）,a model reference online identification method which is based on motor model in α-β reference frame was proposed.This method makes use of α-axis and β-axis voltage,current,and their errors of SPMSM to establish the parameter identification model in α-β reference frame,and adaptive rate of being identified parameters by means of Lyapunov stability theory was deduced.Stability of recognition system and parameter convergence were ensured,and at the same time the stator resistance and inductance were quickly and efficiently identified.The simulation results show the effectiveness and rapidity of this method.
出处
《电气传动》
北大核心
2014年第1期13-16,共4页
Electric Drive
基金
国家自然科学基金项目(51077097)
关键词
永磁同步电机
在线辨识
模型参考自适应
permanent magnet synchronous motor（PMSM）
online identification
model reference adaptive
