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Descripción
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| In this work, the main objective is to obtain enhanced performance of nonlinear multivariable systems.Several algorithms of Fuzzy Logic Controller based Linear Quadratic Regulator (FLC-LQR) are presented.The multivariable nonlinear system is represented by a generalized Takagi?Sugeno (T?S) model devel-oped by the authors in previous works. This model has been improved using the well known weightingparameters approach to optimize local and global approximation. In comparison with existent works,the proposed controller is based on the calculation of the control action in each point of the state spaceaccording to the dynamic properties of the nonlinear system at that point. This control methodologyoffers a robust, well damped dynamic response and zero steady state error when the system is subjectedto disturbances and modeling errors. A two-link robot system is chosen to evaluate the robustness of theproposed controller algorithms. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Applied Soft Computing |
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ISSN
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1568-4946 |
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Factor de impacto JCR
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2,857 |
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Información de impacto
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Datos JCR del año 2015 |
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Volumen
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30 |
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DOI
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10.1016/j.asoc.2015.01.063 |
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Número de revista
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Desde la página
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205 |
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Hasta la página
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213 |
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Mes
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SIN MES |
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Ranking
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For 2015, the journal APPLIED SOFT COMPUTING has an Impact Factor of 2.857 (Q1) in the categories of: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS |