Mohammad Javad Mahmoodabadi, Mohammad Sazvar

Multi-Objective Genetic Algorithm Optimization based Fuzzy Control

Optimal Fuzzy Control of an Overhead Traveling Crane using Multiple Criteria Genetic Algorithm

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 100
• Erscheinungstermin: 4. Oktober 2017
• Englisch
• Abmessung: 220mm x 150mm x 6mm
• Gewicht: 167g
• ISBN-13: 9783659914119
• ISBN-10: 3659914118
• Artikelnr.: 49643463

Autorenporträt

Mohammad Javad Mahmoodabadi a obtenu sa licence et sa maîtrise en génie mécanique à l'université Shahid Bahonar de Kerman en 2005 et 2007, respectivement. Il a obtenu son doctorat en génie mécanique à l'université de Guilan en 2012. Il est actuellement professeur adjoint à l'université de technologie de Sirjan, à Sirjan, en Iran.