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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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