表贴式永磁同步电机的多参数在线辨识  

Online Multi-Parameter Identification for Surface-Mounted Permanent Magnet Synchronous Motors

作　　者：杨宗军[1] 王莉娜[1] 

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100191

出　　处：《电工技术学报》2014年第3期111-118,共8页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(50807002);电力系统国家重点实验室(SKLD10KM05)资助项目

摘　　要：针对表贴式永磁同步电机的多参数辨识,提出一种基于模型参考自适应理论的在线辨识方法,可在同一模型中对定子电阻、交直轴电感和永磁体磁链进行辨识。该方法借助Popov超稳定理论设计自适应律,保证了特定条件下辨识的收敛性,同时采用分步辨识,克服多参数辨识的欠秩问题,保证了辨识结果的唯一性,从而实现多参数辨识。分步辨识首先利用电机q轴电流方程估算出交直轴电感,之后对d轴注入一个小电流值,利用已获得的电感值辨识出定子电阻和转子磁链,同时所辨识出的磁链可进一步用来在线估算定子电阻值的变化。仿真和实验结果表明,该方法可以在同一模型中准确辨识出电机的多个参数,且无需考虑电机的运行状态,具有实用性。Based on model reference adaptive theory, an online multi-parameter identification method is proposed for surface-mounted permanent magnet synchronous motors（SPMSM）. The winding resistance, inductance and PM flux are achieved in the same model. This method utilizes Popov＇s hyper-stability theory, which guarantees the convergence of the identification under certain conditions. Besides, step-by-step program also avoids the deficient rank of system and obtains unique solution. In step-by-step identification, q-axis equation is used to estimate inductance firstly, and then, rotor resistance and flux are estimated by setting a low d-axis current. Further, the estimated inductance and flux can also be used to track the resistance variation. The simulation and experiment illustrate the validity and efficiency of the proposed method for multi-parameter identification, regardless of the motor operating state.

关 键 词：永磁同步电机 电机参数 在线辨识 模型参考自适应 

分 类 号：TM341[电气工程—电机] TM351