contributor author | Wang, Bin | |
contributor author | Shi, Ke | |
contributor author | Zhang, Cheng | |
contributor author | Zhu, Delan | |
date accessioned | 2017-05-09T01:26:30Z | |
date available | 2017-05-09T01:26:30Z | |
date issued | 2016 | |
identifier issn | 1555-1415 | |
identifier other | cnd_011_04_041004.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/160507 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Fuzzy Generalized Predictive Control for Nonlinear Brushless Direct Current Motor | |
type | Journal Paper | |
journal volume | 11 | |
journal issue | 4 | |
journal title | Journal of Computational and Nonlinear Dynamics | |
identifier doi | 10.1115/1.4031839 | |
journal fristpage | 41004 | |
journal lastpage | 41004 | |
identifier eissn | 1555-1423 | |
tree | Journal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 004 | |
contenttype | Fulltext | |