基于互联观测网络的PMSM机械参数在线辨识  

Online Identification of PMSM Mechanical Parameters Based on Interconnected Observation Network

作　　者：朱凌童 蒋全 李国丽[2] 谭玉华 ZHU Lingtong;JIANG Quan;LI Guoi;TAN Yuhua(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;National and Local Joint Engineering Laboratory of High Energy Saving Motor and Control Technology,Anhui University,Hefei 230000,China)

机构地区：[1]上海理工大学机械工程学院,上海200093 [2]安徽大学高节能电机及控制技术国家地方联合工程实验室,安徽合肥230000

出　　处：《控制工程》2023年第11期2108-2115,共8页Control Engineering of China

基　　金：安徽大学高节能电机项目及控制技术国家地方联合工程实验室开发课题资助项目(KFKT202103)。

摘　　要：永磁同步电机的负载转矩、粘滞摩擦系数和转动惯量等机械参数的在线辨识,对实现高性能伺服控制具有重要的意义。为了减小误差、提高辨识精度,充分考虑不同机械参数间的相互关联与影响,将扩展滑模观测器、模型参考自适应系统以及所设计的新型自适应系统相结合,并构成一种互联观测网络。然后,基于此网络,对永磁同步电机的3个机械参数进行实时的在线精确辨识。相比于传统辨识方法,所提出的辨识方法可以有效抑制滑模抖振,提高系统的动态响应能力和鲁棒性。Online identification of mechanical parameters such as load torque,viscous friction coefficient and moment of inertia of permanent magnet synchronous motor(PMSM)are very important for realizing high performance servo control.In order to reduce the error and improve the identification accuracy,the extended sliding mode observer,the model reference adaptive system and the designed new adaptive system are combined to form an interconnected observation network.Then,based on the network,the 3 mechanical parameters of permanent magnet synchronous motor are identified in real time.Compared with the traditional identification methods,the proposed identification method can effectively suppress the chattering of sliding mode and improve the dynamic response capability and robustness of the system.

关 键 词：永磁同步电机 扩展滑模观测器 模型参考自适应 机械参数 在线参数辨识 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]