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Memorias de investigación
Artículos en revistas:
Variable Structure Control with Chattering Reduction of a Generalized T-S Model
Año:2013
Áreas de investigación
  • Automática
Datos
Descripción
In this paper, a fuzzy logic controller (FLC) based variable structure control (VSC) is presented. The main objective is to obtain an improved performance of highly non-linear unstable systems. New functions for chattering reduction and error convergence without sacrificing invariant properties are proposed. The main feature of the proposed method is that the switching function is added as an additional fuzzy variable and will be introduced in the premise part of the fuzzy rules; together with the state variables. In this work, a tuning of the well known weighting parameters approach is proposed to optimize local and global approximation and modelling capability of the Takagi-Sugeno (T-S) fuzzy model to improve the choice of the performance index and minimize it. The main problem encountered is that the T-S identification method can not be applied when the membership functions are overlapped by pairs. This in turn restricts the application of the T-S method because this type of membership function has been widely used in control applications. The approach developed here can be considered as a generalized version of the T-S method. An inverted pendulum mounted on a cart is chosen to evaluate the robustness, effectiveness, accuracy and remarkable performance of the proposed estimation approach in comparison with the original T-S model. Simulation results indicate the potential, simplicity and generality of the estimation method and the robustness of the chattering reduction algorithm. In this paper, we prove that the proposed estimation algorithm converge the very fast, thereby making it very practical to use. The application of the proposed FLC-VSC shows that both alleviation of chattering and robust performance are achieved.
Internacional
Si
JCR del ISI
Si
Título de la revista
ASIAN JOURNAL OF CONTROL
ISSN
1561-8625
Factor de impacto JCR
1,034
Información de impacto
(JCR Impact factor 1.034 Q2) Indice de Impacto: 1.411. Fuente: JCR2012. Area: AUTOMATION & CONTROL SYSTEMS. Posicion: 23/59 Q2
Volumen
15
DOI
10.1002/asjc.518
Número de revista
1
Desde la página
155
Hasta la página
168
Mes
ENERO
Ranking
(JCR Impact factor 1.034 Q2) Indice de Impacto: 1.411. Fuente: JCR2012. Area: AUTOMATION & CONTROL SYSTEMS. Posicion: 23/59 Q2
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Basil Mohammed Al-Hadithi Abdul Qadir (UPM)
  • Autor: Agustin Jimenez Avello (UPM)
  • Autor: Fernando Matia Espada (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Automática, Ingeniería Electrónica e Informática Industrial
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