建筑结构地震响应半主动控制的遗传-模糊算法
|
摘要
本文针对建筑结构地震响应半主动控制问题,应用基于遗传算法优化模糊规则库的遗传—模糊控制方法,通过MR阻尼器实现减小建筑结构地震响应。将结构的位移和加速度响应峰值控制双重指标作为目标函数,运用遗传算法的基本操作得到一组优化的模糊推理规则。以结构位移、加速度、地震加速度信号作为输入量,以MR阻尼器所提供的控制力为输出量,分别构造单阻尼器和多阻尼器的模糊控制策略。以某3层和6层框架结构为例,分别对两种遗传—模糊控制算法进行数值仿真分析,并与LQR最优控制结果进行比较。数值分析结果表明,采用遗传—模糊算法能够有效地减小结构的地震响应。
This paper studies the seismic response semi-active control of building structures installed with MR dampers, which are controlled by a fuzzy controller. The fuzzy rules for the controller are optimized by the genetic algorithm (GA). The control objective is to minimize both the peak displacement and acceleration responses of the buildings. Two input variables are chosen from displacement, acceleration responses, and earthquake signal. The output variable is the control force of MR damper installed in the building. The fuzzy control strategies of single and multiple damper cases are formulated based on the optimal fuzzy rules. To validate the control efficiency of the proposed genetic-fuzzy control method, a 3-story and a 6-story buildings are analyzed as examples to simulate numerically the seismic responses of the buildings. The comparison between the results of LQR control and the genetic-fuzzy control algorithms is also finished. The results of the simulations indicate that the genetic-fuzzy control strategy is effective to reduce the seismic responses of the building structures.
This paper studies the seismic response semi-active control of building structures installed with MR dampers, which are controlled by a fuzzy controller. The fuzzy rules for the controller are optimized by the genetic algorithm (GA). The control objective is to minimize both the peak displacement and acceleration responses of the buildings. Two input variables are chosen from displacement, acceleration responses, and earthquake signal. The output variable is the control force of MR damper installed in the building. The fuzzy control strategies of single and multiple damper cases are formulated based on the optimal fuzzy rules. To validate the control efficiency of the proposed genetic-fuzzy control method, a 3-story and a 6-story buildings are analyzed as examples to simulate numerically the seismic responses of the buildings. The comparison between the results of LQR control and the genetic-fuzzy control algorithms is also finished. The results of the simulations indicate that the genetic-fuzzy control strategy is effective to reduce the seismic responses of the building structures.
引文
[1]Dyke S J,Spencer Jr B F,Sain MK,et al.Modeling and control of magnetorheological dampers for seismic response reduction[J].Smart Mate-rials and Structures,1996,5(5):565-575.
[2]Dyke S J,Spencer Jr B F,Sain MK,et al.Experimental study of MR dampers for seismic protection[J].Smart Materials and Structures:Spe-cial Issue on Large Civil Structures,1998,7(5):693-703.
[3]Yang G,Spencer Jr B F,Sain MK,et al.Large-scale MR fluid dampers:modeling and dynamic performance considerations[J].Engineering Structures,2002,24(3):309-323.
[4]姜南,李忠献.相邻结构地震反应MR阻尼器控制的仿真分析[J].地震工程与工程振动,2008,28(2):131-136.
[5]Zadeh L A.Outline of a new approach to the analysis of complex systems and decision processes[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,3(1):28-44.
[6]师黎,陈铁军,李晓媛,等.智能控制理论及应用[M].北京:清华大学出版社,2009:14-26.
[7]Ahlawat AA,Ramaswamy A.Multiobjective optimal structural vibration control using fuzzy logic control system[J].ASCE Journal of Structural Engineering,2001,127(11):1330-1337.
[8]Kim HS,Roschke P N.GA-fuzzy control of smart base isolated benchmark building using supervisory control technique[J].Advances in Engi-neering Software,2007,38(7):453-465.
[9]Shook D A,Roschke P N,Lin P Y,et al.GA-optimized fuzzy logic control of a large-scale building for seismic loads[J].Engineering Struc-tures,2008,30(2):436-449.
[10]Li HN,Chang Z G,Song G B.Studies on structural vibration control with MR dampers usingμGA[J].Earthquake Engineering and Engineer-ing Vibration,2005,4(2):301-304.
[11]Ali S F,Ramaswamy A.Optimal fuzzy logic control for MDOF structural systems using evolutionary algorithms[J].Engineering Applications of Artificial Intelligence,2009,22(3):407-419.
[12]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,2003:314-315.
[13]Park K S,Koh HM,Seo C W.Independent modal space fuzzy control of earthquake-excited structures[J].Journal of Engineering Structures,2004,26(2):279-289.
[2]Dyke S J,Spencer Jr B F,Sain MK,et al.Experimental study of MR dampers for seismic protection[J].Smart Materials and Structures:Spe-cial Issue on Large Civil Structures,1998,7(5):693-703.
[3]Yang G,Spencer Jr B F,Sain MK,et al.Large-scale MR fluid dampers:modeling and dynamic performance considerations[J].Engineering Structures,2002,24(3):309-323.
[4]姜南,李忠献.相邻结构地震反应MR阻尼器控制的仿真分析[J].地震工程与工程振动,2008,28(2):131-136.
[5]Zadeh L A.Outline of a new approach to the analysis of complex systems and decision processes[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,3(1):28-44.
[6]师黎,陈铁军,李晓媛,等.智能控制理论及应用[M].北京:清华大学出版社,2009:14-26.
[7]Ahlawat AA,Ramaswamy A.Multiobjective optimal structural vibration control using fuzzy logic control system[J].ASCE Journal of Structural Engineering,2001,127(11):1330-1337.
[8]Kim HS,Roschke P N.GA-fuzzy control of smart base isolated benchmark building using supervisory control technique[J].Advances in Engi-neering Software,2007,38(7):453-465.
[9]Shook D A,Roschke P N,Lin P Y,et al.GA-optimized fuzzy logic control of a large-scale building for seismic loads[J].Engineering Struc-tures,2008,30(2):436-449.
[10]Li HN,Chang Z G,Song G B.Studies on structural vibration control with MR dampers usingμGA[J].Earthquake Engineering and Engineer-ing Vibration,2005,4(2):301-304.
[11]Ali S F,Ramaswamy A.Optimal fuzzy logic control for MDOF structural systems using evolutionary algorithms[J].Engineering Applications of Artificial Intelligence,2009,22(3):407-419.
[12]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,2003:314-315.
[13]Park K S,Koh HM,Seo C W.Independent modal space fuzzy control of earthquake-excited structures[J].Journal of Engineering Structures,2004,26(2):279-289.
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