Multi-Objective Genetic Algorithm Optimization based Fuzzy Control

Multi-Objective Genetic Algorithm Optimization based Fuzzy Control

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

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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 ...