基于模糊控制规则的建筑物结构主动控制的研究
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摘要
针对地震中建筑物结构主动控制的问题,引入模糊控制规则。该方法采用分层结构,其中包括一个高层的控制器和多个为了降低层间位移的底层子控制器。模糊控制规则能够恰当地调节预先控制在每一时刻所估计的结构状态。改进的地震控制性能通过模糊调节过程将一个简单设计的静态增益转换为实时动态增益。本文在控制器的设计部分充分考虑作动器饱和的状态,并以三层剪切型建筑物结构模型来举例说明。最后模糊规则的运用和Matlab仿真证明这种控制策略的正确性和有效性。
According to the problem of active control of earthquake-excited buildings structures,this paper introduces the fuzzy supervisory technique.This method has the hierarchical structure,including a controller at the high level and several sub-controllers used to reduce the story-drift.A fuzzy supervisor appropriately tunes the predesigned control gains at every moment by estimating the state of structure through the fuzzy inference mechanism.The improved seismic control performance can be achieved by converting a simply designed static gain into a real-time variable dynamic gain through a fuzzy tuning process.In the section of sub-controller design of the paper,actuators saturation state is fully considered,and a three-story of shear building structure model is given as an example.Finally the fuzzy rules applied and Matlab simulations are performed to prove the effectiveness and validity of the proposed control strategy.
According to the problem of active control of earthquake-excited buildings structures,this paper introduces the fuzzy supervisory technique.This method has the hierarchical structure,including a controller at the high level and several sub-controllers used to reduce the story-drift.A fuzzy supervisor appropriately tunes the predesigned control gains at every moment by estimating the state of structure through the fuzzy inference mechanism.The improved seismic control performance can be achieved by converting a simply designed static gain into a real-time variable dynamic gain through a fuzzy tuning process.In the section of sub-controller design of the paper,actuators saturation state is fully considered,and a three-story of shear building structure model is given as an example.Finally the fuzzy rules applied and Matlab simulations are performed to prove the effectiveness and validity of the proposed control strategy.
引文
[1]潘颖,王超,蔡国平.地震作用下主动减震结构的时滞离散最优控制[J].工程力学,2004,21(2):88-94.
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[8]方明星,吴敏,佘锦华.等价输入干扰结构主动控制系统的分析与设计[J].安徽师范大学学报:自然科学版,2009,32(6):534-539.
[9]Fang Ming-Xing,Wu Min,She Jin-Hua.Structural activecontrol based on the concept of equivalent-input-disturb-ance considering actuator saturation[C]//Proceedings ofthe 2009 International Conference on Measuring Technologyand Mechatronics Automation.2009,1:882-885.
[10]王国胜,吕强,梁冰,等.基于特征结构配置的结构主动控制及仿真[J].系统仿真学报,2006,18(6):1605-1608.
[11]李淑玉,刘栋栋.基于TS模型的结构振动模糊控制方法[J].世界地震工程,2005,21(1):61-65.
[12]Park Kwan-soon,Koh Hyun-Moo,Ok Seung-Yong.Activecontrol of earthquake excited structures using fuzzy supervi-sory technique[J].Advances in Engineering Software,2002,33(11-12):761-768.
[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]张嗣瀛,高立群.现代控制理论[M].北京:清华大学出版社,2006.
[2]Du H,Lam J,Sze K Y.Non-fragile H!vibration controlfor uncertain structural systems[J].Journal of Sound andVibration,2004,273(4-5):1031-1045.
[3]李芦钰,欧进萍.结构非线性振动的自适应模糊滑模控制[J].振动工程学报,2006,19(3):319-325.
[4]李志军,邓子辰,康众举.建筑结构基于指定衰减度的LQR控制[J].西安工业大学学报,2010,30(1):30-33.
[5]臧永利,王宏文.Fuzzy-LQR位置伺服控制器设计与抗扰性分析[J].现代建筑电气,2011(11):39-43.
[6]方明星,吴敏,佘锦华.基于等价输入干扰补偿的直流电机定位控制[J].仪器仪表学报,2009,30(9):1801-1807.
[7]方明星,吴敏,佘锦华.基于等价输入干扰方法的结构主动控制及仿真[J].系统仿真学报,2009,21(22):7320-7324,7329.
[8]方明星,吴敏,佘锦华.等价输入干扰结构主动控制系统的分析与设计[J].安徽师范大学学报:自然科学版,2009,32(6):534-539.
[9]Fang Ming-Xing,Wu Min,She Jin-Hua.Structural activecontrol based on the concept of equivalent-input-disturb-ance considering actuator saturation[C]//Proceedings ofthe 2009 International Conference on Measuring Technologyand Mechatronics Automation.2009,1:882-885.
[10]王国胜,吕强,梁冰,等.基于特征结构配置的结构主动控制及仿真[J].系统仿真学报,2006,18(6):1605-1608.
[11]李淑玉,刘栋栋.基于TS模型的结构振动模糊控制方法[J].世界地震工程,2005,21(1):61-65.
[12]Park Kwan-soon,Koh Hyun-Moo,Ok Seung-Yong.Activecontrol of earthquake excited structures using fuzzy supervi-sory technique[J].Advances in Engineering Software,2002,33(11-12):761-768.
[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]张嗣瀛,高立群.现代控制理论[M].北京:清华大学出版社,2006.
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