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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 - Softcover
Synopsis
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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About the Author
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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- PublisherLAP LAMBERT Academic Publishing
- Publication date2012
- ISBN 10 3846584940
- ISBN 13 9783846584941
- BindingPaperback
- LanguageEnglish
- Number of pages244
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
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LAP LAMBERT Academic Publishing Feb 2012, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Taschenbuch. Condition: 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. Seller Inventory # 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
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783846584941
Quantity: 1 available
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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Condition: 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. Seller Inventory # 5501343
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
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Design of an Intelligent Control System for Conveyor-Belt Grain Dryers
Published by
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ISBN 10: 3846584940
ISBN 13: 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
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584940
ISBN 13: 9783846584941
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