Optimization of Fuzzy Control for Magnetorheological Damping Structures

作者: Jianguo Ding , Xin Sun , Lifeng Zhang , Jiaoyan Xie

DOI: 10.1155/2017/4341025

关键词:

摘要: Due to the influence of nonlinearity and time-variation, it is difficult establish an accurate model a magnetorheological damping structure that adopts semiactive control. Fuzzy control relatively appropriate method, but fuzzy design susceptible human subjective experience, which will decrease effect. This paper proposes new rules based on genetic algorithm (GA) particle swarm optimization (PSO) performs numerical simulation for three-layer reinforced concrete frame under conditions uncontrolled structure, control, optimized by GA, PSO, GA-optimized FLC (GA-FLC) proposed Ali Ramaswamy (2008). The results show (1) fitness values convergence two types are close. speed PSO faster than its running slower. (2) Comparing acceleration displacement three different seismic waves, effect better experience GA-FLC.

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