Design of an Intelligent Control System for Conveyor-Belt Grain Dryers: An Application of Soft Computing Techniques in Grain Drying Systems - Couverture souple

F. Lutfy, Omar; B. M. Noor, Samsul Bahari; H. Marhaban, Mohammad

9783846584941: Design of an Intelligent Control System for Conveyor-Belt Grain Dryers: An Application of Soft Computing Techniques in Grain Drying Systems

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ISBN 10 : 3846584940 ISBN 13 : 9783846584941

Editeur : LAP LAMBERT Academic Publishing, 2012

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The major objective of this research is to improve the performance of conveyor-belt grain dryers by designing an intelligent control system utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control the drying process. To achieve this objective, a laboratory-scale conveyor-belt grain dryer was specifically fabricated for this study. As the main controller in this work, a simplified ANFIS structure is proposed to act as a proportional-integral-derivative (PID)-like feedback controller to control nonlinear systems. This controller has several advantages over its conventional ANFIS counterpart, particularly the reduction in processing time. Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model. From all the simulation tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process.

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Biographie de l'auteur

Omar F. Lutfy was born in Baghdad, Iraq in 1977. He received the B.Sc. degree in Computers Engineering from the Control and Systems Engineering Department, University of Technology, Baghdad-Iraq in 2000. In 2002, he obtained his M.Sc. degree in Mechatronics Engineering. In 2011, he received the Ph.D degree from Universiti Putra Malaysia (UPM).

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3846584940
ISBN 13: 9783846584941
Reliure: Broch�
Nombre de pages: 244
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers

Omar F. Lutfy|Samsul Bahari B. M. Noor|Mohammad H. Marhaban

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3846584940 ISBN 13 : 9783846584941

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: F. Lutfy OmarOmar F. Lutfy was born in Baghdad, Iraq in 1977. He received the B.Sc. degree in Computers Engineering from the Control and Systems Engineering Department, University of Technology, Baghdad-Iraq in 2000. In 2002, he obta. N� de r�f. du vendeur 5501343

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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers : An Application of Soft Computing Techniques in Grain Drying Systems

Omar F. Lutfy

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3846584940 ISBN 13 : 9783846584941

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The major objective of this research is to improve the performance of conveyor-belt grain dryers by designing an intelligent control system utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control the drying process. To achieve this objective, a laboratory-scale conveyor-belt grain dryer was specifically fabricated for this study. As the main controller in this work, a simplified ANFIS structure is proposed to act as a proportional-integral-derivative (PID)-like feedback controller to control nonlinear systems. This controller has several advantages over its conventional ANFIS counterpart, particularly the reduction in processing time. Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model. From all the simulation tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process. N� de r�f. du vendeur 9783846584941

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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers

Omar F. Lutfy

Edit� par LAP LAMBERT Academic Publishing Feb 2012, 2012

ISBN 10 : 3846584940 ISBN 13 : 9783846584941

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The major objective of this research is to improve the performance of conveyor-belt grain dryers by designing an intelligent control system utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control the drying process. To achieve this objective, a laboratory-scale conveyor-belt grain dryer was specifically fabricated for this study. As the main controller in this work, a simplified ANFIS structure is proposed to act as a proportional-integral-derivative (PID)-like feedback controller to control nonlinear systems. This controller has several advantages over its conventional ANFIS counterpart, particularly the reduction in processing time. Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model. From all the simulation tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process. 244 pp. Englisch. N� de r�f. du vendeur 9783846584941

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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers

Omar F. Lutfy

Edit� par LAP LAMBERT Academic Publishing Feb 2012, 2012

ISBN 10 : 3846584940 ISBN 13 : 9783846584941

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -The major objective of this research is to improve the performance of conveyor-belt grain dryers by designing an intelligent control system utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control the drying process. To achieve this objective, a laboratory-scale conveyor-belt grain dryer was specifically fabricated for this study. As the main controller in this work, a simplified ANFIS structure is proposed to act as a proportional-integral-derivative (PID)-like feedback controller to control nonlinear systems. This controller has several advantages over its conventional ANFIS counterpart, particularly the reduction in processing time. Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model. From all the simulation tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process.Books on Demand GmbH, �berseering 33, 22297 Hamburg 244 pp. Englisch. N� de r�f. du vendeur 9783846584941

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