Title: Performance evaluation and risk management for industrial systems by using fuzzy controller
Authors: Abdennaceur Zizouni, Abdeldjebar Hazzab, Ismail Khalil Bousserhane, Pierre Sicard
Addresses: Laboratoire de Commande, Analyse et Optimisation des Systemes Electro-Energetiques, Faculte des Sciences et de la Technologie, Universite de Bechar, B.P. 417 Bechar, 08000, Algerie. ' Laboratoire de Commande, Analyse et Optimisation des Systemes Electro-Energetiques, Faculte des Sciences et de la Technologie, Universite de Bechar, B.P. 417 Bechar, 08000, Algerie. ' Laboratoire de Commande, Analyse et Optimisation des Systemes Electro-Energetiques, Faculte des Sciences et de la Technologie, Universite de Bechar, B.P. 417 Bechar, 08000, Algerie. ' Groupe de recherche en electronique industrielle, Departement de Genie electrique et Genie informatique, Ecole d'Ingenierie, Universite du Quebec a Trois-Rivieres, C.P. 500, Trois-Rivieres (Quebec), G9A 5H7, Canada
Abstract: In this work, we present a synthesis methodology of a multivariable fuzzy controller for the control of a multi-motor system (MMS) that can be intended for winding and unwinding controlled transport processes. The simulation results show that the integration of the fuzzy multivariable controller brought good performances compared to the multivariable PI-structure controller, and a clear improvement at the level of control and synchronism performances between velocities of the MMS motors compared to the fuzzy mono-variable controller. This shows that the integration of the proposed controller can increase the line production.
Keywords: fuzzy logic controllers; FLC; multivariable control; multi-motor industrial systems; fuzzy control; winding controlled transport; unwinding controlled transport; simulation.
DOI: 10.1504/IJAIS.2010.034806
International Journal of Adaptive and Innovative Systems, 2010 Vol.1 No.3/4, pp.297 - 317
Published online: 23 Aug 2010 *
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