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作 者:张懿[1] 徐斌 魏海峰[1] 李垣江[1] 刘维亭[1] ZHANG Yi;XU Bin;WEI Haifeng;LI Yuanjiang;LIU Weiting(School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang 212100,China)
机构地区:[1]江苏科技大学电子信息学院,江苏镇江212100
出 处:《电机与控制学报》2023年第9期157-167,共11页Electric Machines and Control
基 金:国家自然科学基金(51977101);江苏省省重点研发计划产业前瞻性与共性关键技术重点项目(BE2018007)。
摘 要:永磁同步电机(PMSM)的无差拍电流预测控制(DPCC)对参数失配非常敏感。在实际应用环境中,由于某些因素的影响,电机参数会失配,严重时会导致PMSM运行故障。为了减小对DPCC的影响,提出一种基于新型模型参考自适应系统(MRAS)的参数分步辨识方法。首先,获得定子电阻和定子电感的参数,并将其作为已知量来辨识转子磁链。等待参数稳定之后,再将辨识结果作为已知量用于辨识定子电感和定子电阻。最后,将辨识出的参数代入DPCC进行改进。实验结果表明,该方法可以解决模型欠秩的问题,并且可以抑制电机参数失配对DPCC的影响,提高动态跟踪性和鲁棒性,具有一定的工程实际意义。The deadbeat predictive current control(DPCC)of permanent magnet synchronous motor(PMSM)is quite sensitive to parameter mismatch.In the environment of practical application,parameter mismatch could occur in the motor due to certain factors,and serious occasions would result in the operation failure of PMSM.In order to weaken the influence on the DPCC,a parameter stepwise identification method based on the new model reference adaptive system(MRAS)was proposed.Firstly,the parameters of stator resistance and stator inductance were acquired and used as the known quantity to identify rotor flux.Then the identification result was used as the known quantity to identify stator inductance and stator resistance after the parameters are stable.And finally,the identified parameters were substituted into the DPCC for improvement.The experiment result shows that the method can solve the under-rank problem of the model and can suppress the influence of motor parameter mismatch on the DPCC to improve the dynamic tracking and robustness.The method has a certain practical engineering significance.
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