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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 - Brossura
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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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L'autore
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).
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Editore:
LAP LAMBERT Academic Publishing Feb 2012, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783846584941
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Editore:
Editorial Academica Espanola, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 244. Codice articolo 2698162579
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 5501343
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Editore:
Editorial Academica Espanola, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand pp. 244 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 95316044
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Editore:
Editorial Academica Espanola, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 244. Codice articolo 1898162585
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Editore:
LAP LAMBERT Academic Publishing Feb 2012, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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, Überseering 33, 22297 Hamburg 244 pp. Englisch. Codice articolo 9783846584941
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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
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783846584941
Quantità: 1 disponibili
Foto dell'editore
Design of an Intelligent Control System for Conveyor-Belt Grain Dryers: An Application of Soft Computing Techniques in Grain Drying Systems
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. Like New. book. Codice articolo ERICA77338465849406
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