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    Fuzzy Generalized Predictive Control for Nonlinear Brushless Direct Current Motor

    Source: Journal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 004::page 41004
    Author:
    Wang, Bin
    ,
    Shi, Ke
    ,
    Zhang, Cheng
    ,
    Zhu, Delan
    DOI: 10.1115/1.4031839
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the study, a novel fuzzy generalized predictive control (GPC) scheme is proposed for the stability control of nonlinear brushless DC motor (BLDCM). First, the fuzzy predictive model of BLDCM is presented via Takagi–Sugeno fuzzy model. Then, based on the controlled autoregressive moving average (CARMA) model transformed by Takagi–Sugeno fuzzy model of BLDCM, a new fuzzy GPC scheme for the nonlinear BLDCM is designed by combining fuzzy techniques and GPC theory, and the rigorous mathematical derivation is given. Finally, numerical simulations are implemented to verify the effectiveness and superiority of the proposed scheme. It also provides reference for other nonlinear even chaos control in actual project.
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      Fuzzy Generalized Predictive Control for Nonlinear Brushless Direct Current Motor

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    http://yetl.yabesh.ir/yetl1/handle/yetl/160507
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    contributor authorWang, Bin
    contributor authorShi, Ke
    contributor authorZhang, Cheng
    contributor authorZhu, Delan
    date accessioned2017-05-09T01:26:30Z
    date available2017-05-09T01:26:30Z
    date issued2016
    identifier issn1555-1415
    identifier othercnd_011_04_041004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160507
    description abstractIn the study, a novel fuzzy generalized predictive control (GPC) scheme is proposed for the stability control of nonlinear brushless DC motor (BLDCM). First, the fuzzy predictive model of BLDCM is presented via Takagi–Sugeno fuzzy model. Then, based on the controlled autoregressive moving average (CARMA) model transformed by Takagi–Sugeno fuzzy model of BLDCM, a new fuzzy GPC scheme for the nonlinear BLDCM is designed by combining fuzzy techniques and GPC theory, and the rigorous mathematical derivation is given. Finally, numerical simulations are implemented to verify the effectiveness and superiority of the proposed scheme. It also provides reference for other nonlinear even chaos control in actual project.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFuzzy Generalized Predictive Control for Nonlinear Brushless Direct Current Motor
    typeJournal Paper
    journal volume11
    journal issue4
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4031839
    journal fristpage41004
    journal lastpage41004
    identifier eissn1555-1423
    treeJournal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian