基于优化模糊控制规则的磁流变阻尼减震结构地震反应分析
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
由于采用半主动控制的磁流变阻尼器减震结构存在非线性和时变等因素,精确数学模型的建立非常困难。模糊控制是一种比较合适的控制方法,但模糊控制的设计易受人类主观经验的影响而不甚完善,致使控制的效果受到影响。本文利用遗传算法提出一种优化模糊控制规则的新的控制算法,并对安装磁流变阻尼器的某3层钢筋混凝土结构进行了数值仿真,比较了无控结构、模糊控制结构及遗传算法优化模糊控制结构在地震作用下顶层的位移和加速度响应。结果表明:与人为经验设计的模糊控制相比,利用遗传算法优化的模糊控制可使结构顶层位移、加速度的控制效果均得到明显提高。
Because the structures with semi-active control system using magnetorheological fluid dampers are influenced by nonlinear and time-varying factors,a precise mathematical model is difficultly established. Although the fuzzy control is an adaptable control method, the design of fuzzy control is easily affected by human subjectivity so that it becomes imperfect and affects control effectiveness. In this paper,a new control algorithm in which fuzzy control rules are optimized by a genetic algorithm is proposed. A three-story reinforced concrete structure with magnetorheological fluid dampers is studied by numerical simulation,and both the displacements and accelerations at the top of the structure without the control,with the fuzzy control and with the optimized fuzzy control by genetic algorithm are analyzed under the actions of earthquakes. The results show that the optimized fuzzy control by genetic algorithm may evidently improve the control effectiveness on displacement and acceleration responses at the top of the structure,compared with the fuzzy control as the design of human experiences.
引文
[1]赵晓文,侯忠明,杜彦亭.多自由度减振磁流变阻尼器的设计研究[J].地震工程与工程振动,2011,31(05):178~183Zhao Xiao-wen,Hou Zhong-ming,Du Yan-ting.Design and Research of the Multi-degree-of-freedom Damping MR Damper[J].Journal of Earthquake Engineering and Engineering Vibration,2011,31(05):178~183(in Chinese)
    [2]Bitaraf M,Ozbulut O E.Application of Semi-active Control Strategies for Seismic Protection of Buildings with MR Dampers[J].Engineering Structures,2010,32(10):3040~3047
    [3]Roschke P N.Design of Fuzzy Logic Controller for Smart Base Isolation Using Genetic Algorithm[J].Engineering Structures,2006,28(1):84~96
    [4]Ali S F,Ramaswamy A.Optimal Fuzzy Logic Control for MDOF Structures Systems Using Evolutionary Algorithms[J].Engineering Application of Artificial Intelligence,2009,22(12):407~419
    [5]Liu Y,Gordaninejad F,Evrensel C A,Hitchcock G,Wang X.Variable Structure System Based on Fuzzy Logic Control of Bridge Vibration Using Fail-safe Magnetorheological Fluid Dampers[A].Proceedings of SPIE Conference on Smart Structures and Materials,San Diego,CA,2002
    [6]Yan G,Zhou L L.Integrated Fuzzy Logic and Genetic Algorithms for Multi-objective Control of Structures Using MR Dampers[J].Journal of Sound and Vibration,2006,296:368~382
    [7]Kim H S,Roschke P N.Design of Logic Controller for Smart Base Isolation System Using Genetic Algorithm[J].Engineering Structure,2006,28:84~96
    [8]Xu Z D,Shen P Y.Semi-active Control of Structures Incorporated with Magnetorheological Dampers Using Neural Network[J].Smart Materials and Structures,2004,12(1):80~87
    [9]史峰,王辉,郁磊.Matlab智能算法30个案例分析[M].北京:北京航空航天大学出版社,2011Shi Feng,Wang Hui,Yu Lei.Analysis of Matlab Intelligent Algorithm in 30 Cases[M].Beijing:Beijing University of Aeronautics and Astronautics Press,2011(in Chinese)
    [10]乔孟丽,张景元,温莹莹.一种基于遗传算法的模糊控制规则的优化方法[J].计算机测量与控制,2006,14(10):1349~1352Qiao Meng-li,Zhang Jing-yuan,Wen Ying-ying.Optimizing Approach for Fuzzy Control Rule Based on Genetic Algorithm[J].Computer Measurement&Control,2006,14(10):1349~1352(in Chinese)

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心