基于智能算法的MR阻尼器半主动控制
|
摘要
研究了磁流变阻尼器作为控制装置的结构平移 -扭转耦联地震反应的半主动智能控制问题。直接使用微种群遗传算法优化控制信号 ,得出系统输出与控制信号之间的数值对应关系 ;然后通过训练神经网络把这些知识储存于神经网络的权值中 ,并在其它的地震输入下使用。计算实例结果表明 ,采用磁流变阻尼器对结构进行半主动控制能有效地减小结构的地震反应。
In this paper, an application of Intelligent Control Algorithm to semi-active control of MR dampers is proposed for engineering structures. The control signal is optimized directly by the micro genetic algorithm to obtain the numerical relation between the control signal and the system output. And then, this relation is stored in the weight value of a trained artificial neural network, which can be used for another structure subjected to other seismic inputs. The results of an example indicate that the MR damper using semi-active control algorithm can efficiently reduce the structural responses induced by earthquakes.
In this paper, an application of Intelligent Control Algorithm to semi-active control of MR dampers is proposed for engineering structures. The control signal is optimized directly by the micro genetic algorithm to obtain the numerical relation between the control signal and the system output. And then, this relation is stored in the weight value of a trained artificial neural network, which can be used for another structure subjected to other seismic inputs. The results of an example indicate that the MR damper using semi-active control algorithm can efficiently reduce the structural responses induced by earthquakes.
引文
1 SpencerB F,DykeS J,SainM K,et al.Phenomenolog-ical m odel for magnetorheological dam pers.Journal ofEngineeringMechanics,1996;123(3):230—237
2 DykeS J,SpencerB F,SainM K,et al.Modeling andcontrol of magnetorheological dampers for seism ic re-sponse reduction.SmartMater andStruct.,1996;5(5):565—575
3 L auraM Jansen,ShirleyJ Dyke.Semi- active controlstrategies forMR dam pers:comparative study.JournalofEngineeringMechanics,ASCE,2000;126(8):795—803
4 NormanM W,L iP.Non- dim ensional analysis of semi-active electrorheological and m agnetorheologicaldampers using approximate parallel plate models.SmartMater. andStruct.,1998;7(6):732—743
5 李宏男,阎 石,林 皋.智能结构控制发展综述.地震工程与工程振动,1999;19(2):29—36
6 孙增圻.智能控制理论与技术.北京:清华大学出版社,1997
7 何玉敖,郭 婷.基于遗传算法的结构主动控制.振动工程学报,1999;12(2):182—187
8 李宏男,常治国.微种群遗传算法优化结构振动控制.地震工程与工程振动,2002;22(5):92—96
9 Bani-HaniK,GhoboussiJ.Nonlinear structural controlusing neural networks.Journal ofEngineeringMechan-ics,ASCE,1998;124(3):319—327
10Ju-TaeKim,Hyung-JoJung,In-WonL ee.Optim alStructuralControlU singNeuralNetworks.Journal ofEngineeringMechanics,ASCE,2000;26(2):201—205
11李宏男,霍林生,阎 石.神经网络半主动TL CD对偏心结构的减震控制.地震工程与工程振动,2001;21(4):135—141
12李宏男,王苏岩.多维地震作用下非对称结构扭转耦联随机反应分析.建筑结构学报,1992;13(6):12—20
13李康宁,洪 亮.结构三维弹塑性分析方法及计算机程序CAAY.四川建筑科学研究,2001;31(3):53—61
14汪建晓,孟 光.磁流变阻尼器用于振动控制的理论与实验研究.振动与冲击,2001;20(2):39—46
15常治国.智能算法在半主动控制中的应用研究:[硕士学位论文].沈阳:沈阳建筑工程学院,2003
16唐 斌,凌旭峰,杨 杰.基于GA的 n维空间优化参数的搜索算法.系统仿真学报,2001;13(5):564—566
2 DykeS J,SpencerB F,SainM K,et al.Modeling andcontrol of magnetorheological dampers for seism ic re-sponse reduction.SmartMater andStruct.,1996;5(5):565—575
3 L auraM Jansen,ShirleyJ Dyke.Semi- active controlstrategies forMR dam pers:comparative study.JournalofEngineeringMechanics,ASCE,2000;126(8):795—803
4 NormanM W,L iP.Non- dim ensional analysis of semi-active electrorheological and m agnetorheologicaldampers using approximate parallel plate models.SmartMater. andStruct.,1998;7(6):732—743
5 李宏男,阎 石,林 皋.智能结构控制发展综述.地震工程与工程振动,1999;19(2):29—36
6 孙增圻.智能控制理论与技术.北京:清华大学出版社,1997
7 何玉敖,郭 婷.基于遗传算法的结构主动控制.振动工程学报,1999;12(2):182—187
8 李宏男,常治国.微种群遗传算法优化结构振动控制.地震工程与工程振动,2002;22(5):92—96
9 Bani-HaniK,GhoboussiJ.Nonlinear structural controlusing neural networks.Journal ofEngineeringMechan-ics,ASCE,1998;124(3):319—327
10Ju-TaeKim,Hyung-JoJung,In-WonL ee.Optim alStructuralControlU singNeuralNetworks.Journal ofEngineeringMechanics,ASCE,2000;26(2):201—205
11李宏男,霍林生,阎 石.神经网络半主动TL CD对偏心结构的减震控制.地震工程与工程振动,2001;21(4):135—141
12李宏男,王苏岩.多维地震作用下非对称结构扭转耦联随机反应分析.建筑结构学报,1992;13(6):12—20
13李康宁,洪 亮.结构三维弹塑性分析方法及计算机程序CAAY.四川建筑科学研究,2001;31(3):53—61
14汪建晓,孟 光.磁流变阻尼器用于振动控制的理论与实验研究.振动与冲击,2001;20(2):39—46
15常治国.智能算法在半主动控制中的应用研究:[硕士学位论文].沈阳:沈阳建筑工程学院,2003
16唐 斌,凌旭峰,杨 杰.基于GA的 n维空间优化参数的搜索算法.系统仿真学报,2001;13(5):564—566
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