The model predict control (MPC) algorithm is based on the desired reference trajectory and the model of the control object to establish a prediction model, calculate the current period predicted value and then use the prediction error of the previous cycle to correct the predicted value, and the optimal control increment is obtained by rolling optimization based on cost function, then obtaining the optimal control increment accumulated in time. The MPC algorithm is introduced into the speed loop of PMSM field-oriented control to design speed loop controller, and then establish simulation model to prove that the PMSM field-oriented control based on MPC has fast and accurate response and better robustness then the PMSM field-oriented control based on PI.


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    Title :

    Research on a PMSM Control Method Based on Model Prediction Control


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Qin, Yong (editor) / Liu, Baoming (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Chen, Yalou (author) / Zhou, Jun (author) / Wang, Wenxuan (author) / Yang, Tao (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-08


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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