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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control: Optimal Fuzzy Control of an Overhead Traveling Crane using Multiple Criteria Genetic Algorithm - Couverture souple
Synopsis
A fuzzy controller for anti-swing and positioning control of an overhead traveling crane is proposed based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference model. The trolley position and velocity, the rope swing angle and angular velocity are selected as input items, and the trolley acceleration as output item. With a simple structure, the controller can autonomously adjust the influence of each input item. The control system is further proved to be asymptotically stable near destination. Multi-objective genetic algorithm optimization is successfully implemented to find the controller gains. Control simulation results show that the controller is robust to different rope lengths and has generalization ability for different initial positions. Compared with linear state feedback controller, the fuzzy controller can drive the crane to destination in short time with small swing angle.
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À propos de l?auteur
Mohammad Javad Mahmoodabadi received his B.Sc. and M.Sc. degrees at Mechanical Engineering from Shahid Bahonar University of Kerman in 2005 and 2007, respectively. He completed his Ph.D. degree at Mechanical Engineering in the University of Guilan in 2012. Currently, he is an Assistant Professor in Sirjan University of Technology, Sirjan, Iran.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3659914118
ISBN 13 : 9783659914119
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mahmoodabadi Mohammad JavadMohammad Javad Mahmoodabadi received his B.Sc. and M.Sc. degrees at Mechanical Engineering from Shahid Bahonar University of Kerman in 2005 and 2007, respectively. He completed his Ph.D. degree at Mechanica. N° de réf. du vendeur 385770717
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control : Optimal Fuzzy Control of an Overhead Traveling Crane using Multiple Criteria Genetic Algorithm
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3659914118
ISBN 13 : 9783659914119
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A fuzzy controller for anti-swing and positioning control of an overhead traveling crane is proposed based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference model. The trolley position and velocity, the rope swing angle and angular velocity are selected as input items, and the trolley acceleration as output item. With a simple structure, the controller can autonomously adjust the influence of each input item. The control system is further proved to be asymptotically stable near destination. Multi-objective genetic algorithm optimization is successfully implemented to find the controller gains. Control simulation results show that the controller is robust to different rope lengths and has generalization ability for different initial positions. Compared with linear state feedback controller, the fuzzy controller can drive the crane to destination in short time with small swing angle. N° de réf. du vendeur 9783659914119
Quantité disponible : 1 disponible(s)
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control
Edité par
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10 : 3659914118
ISBN 13 : 9783659914119
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A fuzzy controller for anti-swing and positioning control of an overhead traveling crane is proposed based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference model. The trolley position and velocity, the rope swing angle and angular velocity are selected as input items, and the trolley acceleration as output item. With a simple structure, the controller can autonomously adjust the influence of each input item. The control system is further proved to be asymptotically stable near destination. Multi-objective genetic algorithm optimization is successfully implemented to find the controller gains. Control simulation results show that the controller is robust to different rope lengths and has generalization ability for different initial positions. Compared with linear state feedback controller, the fuzzy controller can drive the crane to destination in short time with small swing angle. 100 pp. Englisch. N° de réf. du vendeur 9783659914119
Quantité disponible : 2 disponible(s)
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control
Edité par
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10 : 3659914118
ISBN 13 : 9783659914119
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -A fuzzy controller for anti-swing and positioning control of an overhead traveling crane is proposed based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference model. The trolley position and velocity, the rope swing angle and angular velocity are selected as input items, and the trolley acceleration as output item. With a simple structure, the controller can autonomously adjust the influence of each input item. The control system is further proved to be asymptotically stable near destination. Multi-objective genetic algorithm optimization is successfully implemented to find the controller gains. Control simulation results show that the controller is robust to different rope lengths and has generalization ability for different initial positions. Compared with linear state feedback controller, the fuzzy controller can drive the crane to destination in short time with small swing angle.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. N° de réf. du vendeur 9783659914119
Quantité disponible : 2 disponible(s)
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control: Optimal Fuzzy Control of an Overhead Traveling Crane using Multiple Criteria Genetic Algorithm
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3659914118
ISBN 13 : 9783659914119
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. N° de réf. du vendeur 3659914118
Quantité disponible : 1 disponible(s)