模糊迭代学习方法及高层建筑结构地震响应控制的数值模拟
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摘要
结合自校正控制、模糊逻辑和迭代学习控制的基本思想,提出采用自整定模糊控制确定迭代学习律的方法,提高了迭代学习控制的鲁棒性。选取建筑结构振动控制Benchmark第二阶段的地震作用Benchmark模型作为研究对象,进行模糊迭代学习控制地震响应仿真计算,结果表明该方法能够对Benchmark模型的地震响应进行有效控制,而且具有学习控制律简单实用、跟踪精度高、鲁棒性强等优点。
With research into the fundamental ideas of self-tuning control,fuzzy logic and iterative learning control(ILC),this paper provides a new type of fuzzy iterative learning control strategy to reduce the seismic response of tall building.It improves the robustness of the iterative learning control.The model of a seismically excited building in the second generation benchmark vibration control for buildings is studied,using the new control strategy to calculate the seismic response of the building.The result of simulation shows that fuzzy iterative learning control strategy can control the seismic response of the building effectively,and has advantages of simple and practical learning control law,high precision in trajectory and good robustness.
With research into the fundamental ideas of self-tuning control,fuzzy logic and iterative learning control(ILC),this paper provides a new type of fuzzy iterative learning control strategy to reduce the seismic response of tall building.It improves the robustness of the iterative learning control.The model of a seismically excited building in the second generation benchmark vibration control for buildings is studied,using the new control strategy to calculate the seismic response of the building.The result of simulation shows that fuzzy iterative learning control strategy can control the seismic response of the building effectively,and has advantages of simple and practical learning control law,high precision in trajectory and good robustness.
引文
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[2]Arimoto S,Kawamura S,Miyazaki F.Bettering operation of robot-ics by learning[J].Journal of Robotic System,1984,1(2):123-140.
[3]方忠,韩正之,陈彭年.迭代学习控制新进展[J].控制理论与应用2,002,19(2):161-166.
[4]李书臣,李平,徐心和,等.迭代学习控制理论现状与展望[J].系统仿真学报2,005,17(4):904-908.
[5]谢胜利,田森平,谢振东.迭代学习控制的理论与应用[M].北京:科学出版社,2005.
[6]许建新,侯忠生.学习控制的现状与展望[J].自动化学报,2005,31(6):943-955.
[7]Zadeh L A.Fuzzy sets[J].Information and Control,1965,8(3):338-353.
[8]Zadeh L A.Outline of a new approach to the analysis of complexsystems and decision processes[J].IEEE Transactions on Sys-tems,Man and Cybernetics,1973,3(1):28-44.
[9]Chu J U,Lee Y J,Choi B Y.Takagi-sugeno fuzzy model-basediterative learning control systems:a two-dimensional system theoryapproach[J].Journal of Control,Automation and Systems Engi-neering,20028,(5):385-392.
[10]Xu Jianxin,Xu Jing.A new fuzzy logic learning control schemefor repetitive trajectory tracking problems[J].Fuzzy Sets and Sys-tems,20031,33(1):57-75.
[11]Zhang Liping,Yang Fuwen.Fuzzy iterative learning control de-sign for output tracking of discrete-time fuzzy systems[C]//Proc.Int.Conf.Mach.Learning Cybernetics,2004,2:678-682.
[12]Precup R E,Preitl S,Petriu E M,et al.Iterative learning basedfuzzy control system[C]//ROSE-IEEE International Work-shop Robtic Sensors Environment Proc.,2008:25-28.
[13]欧进萍.结构振动控制——主动、半主动和智能控制[M].北京:科学出版社,2003.
[14]Lynch J P,Law K H.Energy market-based control of linear civilstructures[J].Earthquake Engineering and Structural Dynam-ics,2002,31(10):1855-1877.
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