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机构地区:[1]西安理工大学自动化与信息工程学院,陕西西安710048
出 处:《电机与控制学报》2010年第4期9-13,共5页Electric Machines and Control
摘 要:针对嵌入式永磁同步电机参数辨识问题,提出一种自适应在线参数辨识方法,可在同一模型中对定子电阻、d轴电感、q轴电感和永磁体磁链进行辨识。该方法基于模型参考自适应系统,在同步旋转d-q坐标系下,构造出q轴电流自适应观测器,利用q轴电流观测误差,借助Lyapunov超稳定理论建立参数的辨识模型并推导出待辨识参数的自适应律,保证了特定条件下系统的稳定性和辨识参数的收敛性,解决了参数在线辨识算法的鲁棒性差、算法复杂等问题。仿真和实验结果表明,辨识参数能够在较短的时间内收敛到真实值附近,并且具有较小的误差。An adaptive on-line parameter identification method for interior permanent magnet synchronous motor(PMSM) is presented in the paper.The rotor resistance,d-axis inductance,q-axis inductance and permanent magnet flux are achieved at the same time in the presented model.Based on model reference adaptive system,an adaptive q-axis current estimator for interior permanent magnet synchronous motor is put forward in the rotor reference frame.And the q-axis current error is used to obtain the adaptive laws of parameters.Lyapunov's hyper-stability theory guarantees stability of the system and convergence of the identified parameters under certain conditions.This method also improves the robustness and makes the algorithm easy.The parameter identification algorithm has been verified by simulation and experimentation.The results show that the algorithm provides excellent accuracy and fast convergence.
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