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作 者:吴承熹 朱保鹏 魏海峰[2] 张懿[2] WU Chengxi;ZHU Baopeng;WEI Haifeng;ZHANG Yi(Educational and Sccentific Institute of Automation and Eleetnical Engineering,Admiral Makarov National University of Shipbuilding,Nikolayev,Ukraine;School of Electronics and Infornation,Jiangsu University of Science and Technology,Zhenjiang 212003,China)
机构地区:[1]乌克兰马卡洛夫国立造船大学电气与自动化学院,尼古拉耶夫乌克兰 [2]江苏科技大学电子信息学院,镇江212003
出 处:《江苏科技大学学报(自然科学版)》2018年第1期77-82,共6页Journal of Jiangsu University of Science and Technology:Natural Science Edition
基 金:国家自然科学基金资助项目(61503161);江苏省产学研前瞻性联合研究项目(BY2016073-01)
摘 要:基于Popov超稳定性理论的模型参考自适应辨识方法,对永磁同步电机的定子电感和转子磁链进行在线辨识.为保证非线性参数在线辨识在变工况下的动态品质,分析了线性前向通道极点、自适应律参数的选取以及非线性反馈通道输入对辨识结果动态品质的影响,获得了在线参数辨识高动态品质的参数调节规律.实验结果表明:合理利用该闭环辨识系统参数调节规律可有效改善在线参数辨识的动态品质,为永磁同步电机高性能控制奠定了基础.A model reference adaptive identification method based on Popov hyperstability theory is designed to identify the stator inductance and rotor flux of permanent magnet synchronous motor(PMSM)online.On the basis of this,in order to ensure the dynamic quality of the nonlinear parameters in variable conditions,the influence of the selection of linear forward channel pole,adaptive law parameters and the non-linear feedback channel input on dynamic quality of identified results are analyzed,and the high dynamic quality parameter regulation of online parameter identification is obtained.The experimental results show that reasonable use of the parameter adjustment regulation can effectively improve the dynamic quality of online parameter identification,and it lays the foundation for the high performance control of PMSM.
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