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Descripción
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| tIn this paper, a fuzzy logic controller (FLC) based variable structure control (VSC) with guaranteed stabil-ity for multivariable systems is presented. It is aimed at obtaining an improved performance of nonlinearmultivariable systems. The main contribution of this work is firstly developing a generic matrix formu-lation of the FLC-VSC algorithm for nonlinear multivariable systems, with a special attention to non-zerofinal state. Secondly, ensuring the global stability of the controlled system. The multivariable nonlin-ear system is represented by T-S fuzzy model. The identification of the T-S model parameters has beenimproved using the well known weighting parameters approach to optimize local and global approxima-tion and modeling capability of T-S fuzzy model. The main problem encountered is that T-S identificationmethod cannot be applied when the membership functions (MFs) are overlapped by pairs. This in turnrestricts the application of the T-S method because this type of membership function has been widelyused in control applications. In order to overcome the chattering problem a switching function is addedas an additional fuzzy variable and will be introduced in the premise part of the fuzzy rules togetherwith the state variables. A two-link robot system and a mixing thermal system are chosen to evaluatethe robustness, effectiveness, accuracy and remarkable performance of proposed FLC-VSC method. | |
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Internacional
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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: Q1 |
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Volumen
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39 |
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DOI
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10.1016/j.asoc.2015.10.068 |
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Número de revista
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Desde la página
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165 |
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Hasta la página
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187 |
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Mes
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FEBRERO |
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Ranking
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Categoría de JCR ® Clasificación en la categoría Cuartil en la categoría COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 21 de 130 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 16 de 104 Q1 |