磁流变阻尼器结构控制策略研究进展
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摘要
磁流变阻尼器(Magnetorheological Damper,简称MR阻尼器)是一种在振动控制领域中表现出巨大应用潜力的智能型驱动装置,它主要是根据输入电压(电流)的变化产生趋近于最优主动控制力的阻尼力。本文详细综述了MR阻尼器控制策略的研究现状,分析了各种控制策略的优缺点。探讨了如何充分发挥不同电压下的MR阻尼器耗能能力,指出神经网络和模糊逻辑等智能技术的应用是解决这一问题的有效途径。
Magnetorheological (MR) damper is a kind of intelligent actuator, which shows immense poten-tial in the field of structural vibration control. The voltage or current can be adjusted to induce MR damperto generate approximately the desired optimal control force, and this is the main way using MR damper inthe structural vibration control. In this paper, studies on control strategies of MR damper are summarizedin detail. The advantages and disadvantages of every strategy are described. The problem of how to designthe control strategies making the dissipative ability of MR damper under fluctuating current be optimal isalso discussed. The intelligent technology such as neural network, fuzzy logic and genetic algorithm maybe an effective solution in practical applications.
Magnetorheological (MR) damper is a kind of intelligent actuator, which shows immense poten-tial in the field of structural vibration control. The voltage or current can be adjusted to induce MR damperto generate approximately the desired optimal control force, and this is the main way using MR damper inthe structural vibration control. In this paper, studies on control strategies of MR damper are summarizedin detail. The advantages and disadvantages of every strategy are described. The problem of how to designthe control strategies making the dissipative ability of MR damper under fluctuating current be optimal isalso discussed. The intelligent technology such as neural network, fuzzy logic and genetic algorithm maybe an effective solution in practical applications.
引文
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[2] Michael G S. Stability and robustness of multivariable feedback systems [M]. The MIT Press, Cambridge, Massachusetts, and London, England, 1980
[3] Andre Preumont. Vibration control of active structures [M]. Kluwer Academic Publishers Dordrecht, Boston, London, 1997
[4] 李宏男,杨浩,李秀领.磁流变阻尼器参数化动力学模型的研究进展[J].大连理工大学学报,2004,44(4) :616-624
[5] 黄尚廉.智能结构系统--减灾防灾的研究前沿[J].土木工程学报,2000,33(4) :1-5
[6] 李宏男,常治国,赵柏东.微种群遗传算法优化结构振动控制[J].地震工程与工程振动,2002,22(5) :92-96
[7] Iansen L M, Dyke S J. Semi-Active control strategies for MR dampers: a comparative study[J]. Journal of Engineering Mechanics, 2000, 126(8) : 795-803
[8] Brogan W. L. Modern control theory[M]. Prentice-Hall. Englewood Cliffs, N. J, 1991
[9] Leitman G. Semi-active control for vibration attenuation[J]. J Intelligent Mat., Systems and Struct, 1994(5) : 841-846
[10] McClamroch N H. Closed loop structural control using electrorheological dampers [A]. Proc., Am. Control Conf., American Automatic Control Council [C]. Washington, D. C., 1995． 4173-4177
[11] Dyke S J, Spencer B F, Sain M K, et al. Experimental verification of semi-active structural control strategies using acceleration feedback [J]. Proc., 3rd Int. Conf. on Motion and Vibration Control, Japan society of Mechanical Engineers, Tokyo, 1996, (3) : 291-296
[12] Dyke S J, Spencer B F, Sain M K, et al. Semi-Active response reduction using magnetorheological dampers [A]. Proceedings of the IFAC World Congress[C]. San Francisco, 1996． 145-150
[13] Dyke S J, Spencer B F, Sain M K, et al. Modeling and control of magnetorheological dampers for seismic response reduction [J ] Smart Material Structure, 1996． (5) : 565-575
[14] Jose A. Inaudi. Modulated homogeneous friction, a semi-active damping strategy [J]. Earthquake Engineering Structure. Dyn. 1997, 26: 361-376
[15] Pan G Y, Matsuhisa H, Honda Y. Analytical model of a magnetorheological damper and its application to the vibration control[J]. 26th Annual Conference of the IEEE, 2000, (3) : 1850-1855
[16] Spencer B F, Dyke S J, Sain M K. et al. Phenomenological model for magnetorheological dampers [J]. Journal of Engineering Mechanics, 1997, 123 (3) : 230-238
[17] 徐龙河.周云,李忠献.半主动磁流变阻尼器控制方法的比较与分析[J].世界地震工程,2000,16(3) :95-100
[18] 李忠献,徐龙河,姜南,等.基于MRF-04F阻尼器的结构减震控制模型试验[J].地震工程与工程振动,2004,24(1) :148-153
[19] 张春巍,欧进萍.结构磁流变阻尼半主动控制的改进算法与仿真分析[J].世界地震工程,2003,19(1) :37-43
[20] Jann N Y, Kim J H, Anil K A. Resetting semi-active stiffness damper for seismic response control[J]. ASCE Journal of Structural Engineering, 2000, 126 (12) : 1427-1433
[21] 徐赵东,沈亚鹏.磁流变阻尼结构的双态控制和三态控制弹塑性分析[J].西安交通大学学报,2003,37(7) :754-758
[22] XU Zhaodong, SHEN Yapeng. A new intelligent control strategy for the structure with magnetorheological dampers [J]. Journal of Intelligent Material Systems and Structures. 2003, 14(1) : 35-42
[23] 徐赵东,沈亚鹏.三态控制下磁流变阻尼结构的弹塑性分析[J].东南大学学报,2002,46(5) ;87-92
[24] 郭迎庆.磁流变阻尼结构的智能减震控制研究[D].西安;西安建筑科技大学,2003
[25] 宁欣.磁流变减振控制技术的研究[D].沈阳:沈阳建筑工程学院,2004
[26] 隋莉莉.结构磁流变阻尼控制系统的控制算法、反应分析与实验研究[D].哈尔滨:哈尔滨工业大学,2003
[27] 阎石.结构振动智能控制的人工神经网络与模糊逻辑方法研究[D].大连:大连理工大学,2000
[28] 何亚东,基于智能理论的建筑结构系统辨识、半主动控制及控制优化研究[D].天津:天津大学.2001
[29] 王小平,曹立明.遗传算法-理论、应用与软件实现[M].西安;西安交通大学出版社,2002
[30] 李宏男,金峤.基于Takagi-Sugeno模型的半主动TLCD对偏心结构的减震控制[J].计算力学学报,2003,20(5) :523-529
[31] Schurier K C, Roschke P N. Neuro-Fuzzy control of structures using magnetorheological dampers[J]. Pro- ??ceedings of the American Control Conference, Arlingtn, 2001, (7) : 1097-1102
[32] 涂建维,瞿伟廉,邹承明,等.MR智能阻尼器试验研究及径向基网络模型[J].武汉理工大学学报,2003,25(1) :43-45
[33] 周丽,张志成.基于磁流变阻尼器的结构振动优化控制[J].振动工程学报.2003,16(1) :109-113
[34] CHANG Chihchen, ZHOU Li. Neural network emulation of inverse dynamics for a magnetorheological damper[J]. Journal of Structural Engineering, 2002, 128(2) : 231-239
[35] ZHOU Li, CHANG Chihchen. Neural network realization of structural vibration control using MR damper [J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2001, 18(2) : 144-150
[36] 夏品奇.基于系统识别理论的磁流变阻尼器模型[J].工程力学,2003． 20(3) :115-119
[37] XIA Pinqi. An inverse model of MR damper using optimal neural network and system identification [J]. Journal of Sound and Vibration, 2003, 266: 1009-1023
[38] 何亚东,黄金枝,何玉敖.智能滋流变(MR)阻尼器半主动控制的研究[J].振动工程学报,2003,16(2) :198-202
[2] Michael G S. Stability and robustness of multivariable feedback systems [M]. The MIT Press, Cambridge, Massachusetts, and London, England, 1980
[3] Andre Preumont. Vibration control of active structures [M]. Kluwer Academic Publishers Dordrecht, Boston, London, 1997
[4] 李宏男,杨浩,李秀领.磁流变阻尼器参数化动力学模型的研究进展[J].大连理工大学学报,2004,44(4) :616-624
[5] 黄尚廉.智能结构系统--减灾防灾的研究前沿[J].土木工程学报,2000,33(4) :1-5
[6] 李宏男,常治国,赵柏东.微种群遗传算法优化结构振动控制[J].地震工程与工程振动,2002,22(5) :92-96
[7] Iansen L M, Dyke S J. Semi-Active control strategies for MR dampers: a comparative study[J]. Journal of Engineering Mechanics, 2000, 126(8) : 795-803
[8] Brogan W. L. Modern control theory[M]. Prentice-Hall. Englewood Cliffs, N. J, 1991
[9] Leitman G. Semi-active control for vibration attenuation[J]. J Intelligent Mat., Systems and Struct, 1994(5) : 841-846
[10] McClamroch N H. Closed loop structural control using electrorheological dampers [A]. Proc., Am. Control Conf., American Automatic Control Council [C]. Washington, D. C., 1995． 4173-4177
[11] Dyke S J, Spencer B F, Sain M K, et al. Experimental verification of semi-active structural control strategies using acceleration feedback [J]. Proc., 3rd Int. Conf. on Motion and Vibration Control, Japan society of Mechanical Engineers, Tokyo, 1996, (3) : 291-296
[12] Dyke S J, Spencer B F, Sain M K, et al. Semi-Active response reduction using magnetorheological dampers [A]. Proceedings of the IFAC World Congress[C]. San Francisco, 1996． 145-150
[13] Dyke S J, Spencer B F, Sain M K, et al. Modeling and control of magnetorheological dampers for seismic response reduction [J ] Smart Material Structure, 1996． (5) : 565-575
[14] Jose A. Inaudi. Modulated homogeneous friction, a semi-active damping strategy [J]. Earthquake Engineering Structure. Dyn. 1997, 26: 361-376
[15] Pan G Y, Matsuhisa H, Honda Y. Analytical model of a magnetorheological damper and its application to the vibration control[J]. 26th Annual Conference of the IEEE, 2000, (3) : 1850-1855
[16] Spencer B F, Dyke S J, Sain M K. et al. Phenomenological model for magnetorheological dampers [J]. Journal of Engineering Mechanics, 1997, 123 (3) : 230-238
[17] 徐龙河.周云,李忠献.半主动磁流变阻尼器控制方法的比较与分析[J].世界地震工程,2000,16(3) :95-100
[18] 李忠献,徐龙河,姜南,等.基于MRF-04F阻尼器的结构减震控制模型试验[J].地震工程与工程振动,2004,24(1) :148-153
[19] 张春巍,欧进萍.结构磁流变阻尼半主动控制的改进算法与仿真分析[J].世界地震工程,2003,19(1) :37-43
[20] Jann N Y, Kim J H, Anil K A. Resetting semi-active stiffness damper for seismic response control[J]. ASCE Journal of Structural Engineering, 2000, 126 (12) : 1427-1433
[21] 徐赵东,沈亚鹏.磁流变阻尼结构的双态控制和三态控制弹塑性分析[J].西安交通大学学报,2003,37(7) :754-758
[22] XU Zhaodong, SHEN Yapeng. A new intelligent control strategy for the structure with magnetorheological dampers [J]. Journal of Intelligent Material Systems and Structures. 2003, 14(1) : 35-42
[23] 徐赵东,沈亚鹏.三态控制下磁流变阻尼结构的弹塑性分析[J].东南大学学报,2002,46(5) ;87-92
[24] 郭迎庆.磁流变阻尼结构的智能减震控制研究[D].西安;西安建筑科技大学,2003
[25] 宁欣.磁流变减振控制技术的研究[D].沈阳:沈阳建筑工程学院,2004
[26] 隋莉莉.结构磁流变阻尼控制系统的控制算法、反应分析与实验研究[D].哈尔滨:哈尔滨工业大学,2003
[27] 阎石.结构振动智能控制的人工神经网络与模糊逻辑方法研究[D].大连:大连理工大学,2000
[28] 何亚东,基于智能理论的建筑结构系统辨识、半主动控制及控制优化研究[D].天津:天津大学.2001
[29] 王小平,曹立明.遗传算法-理论、应用与软件实现[M].西安;西安交通大学出版社,2002
[30] 李宏男,金峤.基于Takagi-Sugeno模型的半主动TLCD对偏心结构的减震控制[J].计算力学学报,2003,20(5) :523-529
[31] Schurier K C, Roschke P N. Neuro-Fuzzy control of structures using magnetorheological dampers[J]. Pro- ??ceedings of the American Control Conference, Arlingtn, 2001, (7) : 1097-1102
[32] 涂建维,瞿伟廉,邹承明,等.MR智能阻尼器试验研究及径向基网络模型[J].武汉理工大学学报,2003,25(1) :43-45
[33] 周丽,张志成.基于磁流变阻尼器的结构振动优化控制[J].振动工程学报.2003,16(1) :109-113
[34] CHANG Chihchen, ZHOU Li. Neural network emulation of inverse dynamics for a magnetorheological damper[J]. Journal of Structural Engineering, 2002, 128(2) : 231-239
[35] ZHOU Li, CHANG Chihchen. Neural network realization of structural vibration control using MR damper [J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2001, 18(2) : 144-150
[36] 夏品奇.基于系统识别理论的磁流变阻尼器模型[J].工程力学,2003． 20(3) :115-119
[37] XIA Pinqi. An inverse model of MR damper using optimal neural network and system identification [J]. Journal of Sound and Vibration, 2003, 266: 1009-1023
[38] 何亚东,黄金枝,何玉敖.智能滋流变(MR)阻尼器半主动控制的研究[J].振动工程学报,2003,16(2) :198-202
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