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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 - Tapa blanda
Sinopsis
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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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.
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control
Publicado por
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 3659914118
ISBN 13: 9783659914119
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659914119
Cantidad disponible: 2 disponibles
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659914118
ISBN 13: 9783659914119
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 385770717
Cantidad disponible: Más de 20 disponibles
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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
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659914118
ISBN 13: 9783659914119
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659914119
Cantidad disponible: 1 disponibles
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Multi-Objective Genetic Algorithm Optimization based Fuzzy Control
Publicado por
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 3659914118
ISBN 13: 9783659914119
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659914119
Cantidad disponible: 2 disponibles
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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
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659914118
ISBN 13: 9783659914119
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. Nº de ref. del artículo: 3659914118
Cantidad disponible: 1 disponibles