Parametric identification of the Dahl model for large scale MR dampers

阻尼器 参数统计 磁流变阻尼器 磁流变液 工程类 非线性系统 鉴定(生物学) 结构工程 系统标识 控制理论(社会学) 可靠性(半导体) 理论(学习稳定性) 比例(比率) 参数化模型 功率(物理) 控制工程 控制(管理) 计算机科学 数学 数据建模 物理 人工智能 机器学习 植物 软件工程 量子力学 统计 生物
作者
N. Aguirre,Fayçal Ikhouane,José Rodellar,Richard Christenson
出处
期刊:Structural control & health monitoring [Wiley]
卷期号:19 (3): 332-347 被引量:29
标识
DOI:10.1002/stc.434
摘要

Structural Control and Health MonitoringVolume 19, Issue 3 p. 332-347 Research Article Parametric identification of the Dahl model for large scale MR dampers N. Aguirre, Corresponding Author N. Aguirre [email protected] Department of Applied Mathematic III, School of Technical Industrial Engineering of Barcelona, Technical University of Catalunya, Urgell 187, 08036 Barcelona, SpainDepartment of Applied Mathematic III, School of Technical Industrial Engineering of Barcelona, Technical University of Catalunya, Urgell 187, 08036 Barcelona, SpainSearch for more papers by this authorF. Ikhouane, F. Ikhouane Department of Applied Mathematic III, School of Technical Industrial Engineering of Barcelona, Technical University of Catalunya, Urgell 187, 08036 Barcelona, SpainSearch for more papers by this authorJ. Rodellar, J. Rodellar Department of Applied Mathematic III, Technical University of Catalunya, Campus Nord C-2 08034, BarcelonaSearch for more papers by this authorR. Christenson, R. Christenson Department Civil and Environmental Engineering, University of Connecticut, 261 Glenbrook Road, Unit 2037, Storrs, CT 06269-2037, U.S.A.Search for more papers by this author N. Aguirre, Corresponding Author N. Aguirre [email protected] Department of Applied Mathematic III, School of Technical Industrial Engineering of Barcelona, Technical University of Catalunya, Urgell 187, 08036 Barcelona, SpainDepartment of Applied Mathematic III, School of Technical Industrial Engineering of Barcelona, Technical University of Catalunya, Urgell 187, 08036 Barcelona, SpainSearch for more papers by this authorF. Ikhouane, F. Ikhouane Department of Applied Mathematic III, School of Technical Industrial Engineering of Barcelona, Technical University of Catalunya, Urgell 187, 08036 Barcelona, SpainSearch for more papers by this authorJ. Rodellar, J. Rodellar Department of Applied Mathematic III, Technical University of Catalunya, Campus Nord C-2 08034, BarcelonaSearch for more papers by this authorR. Christenson, R. Christenson Department Civil and Environmental Engineering, University of Connecticut, 261 Glenbrook Road, Unit 2037, Storrs, CT 06269-2037, U.S.A.Search for more papers by this author First published: 10 February 2011 https://doi.org/10.1002/stc.434Citations: 26Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL SUMMARY Magnetorheological (MR) dampers are promising control devices in civil engineering structures as they combine reliability and stability of passive systems while maintaining versatility of active devices without large power requirements. These dampers are intrinsically nonlinear, so one of the challenging aspects of applying this technology is the development of accurate models to describe their behaviour for control design and evaluation purposes. This paper deals with the parametric identification of three large-scale MR dampers which are modelled using the viscous + Dahl model. Experimental results show reasonably good agreement with the forces predicted by the identified models. Copyright © 2011 John Wiley & Sons, Ltd. REFERENCES 1 Carlson JD, Weiss KD. A growing attraction to magnetic fuids. A growing attraction to magnetic fuids. Machine Design 1994; 8: 61– 66. 2 Ashour O, Rogers CA, Kordonsky W. Magnetorheological fuids: materials, characterization and devices. Journal of Intelligent Material Systems and Structures 1996; 7: 123– 130. DOI: 10.1177/1045389X9600700201. 3 Savaresi SM, Bittanti D, Montiglio M. Identification of semi-physical and blackbox non-linear models: the case of MR dampers for vehicles control. Automatica 2005; 41: 113– 127. DOI: 10.1016/j.automatica.2004.08.012. 4 Dahl PR. A solid friction model. Technical Report, The Aerospace Corporation, El Secundo, CA, 1968. 5 Zhou Q, Nielsen SRK, Qu WL. Semi-active control of three-dimensional vibrations of an inclined sag cable with magnetorheological dampers. Journal of Sound and Vibration 2006; 296: 1– 22. DOI: 10.1016/j.jsv.2005.10.028. 6 Zhou Q, Nielsen SRK, Qu WL. Semi-active control of shallow cables with magnetorheological dampers under harmonic axial support motion. Journal of Sound and Vibration 2008; 311: 683– 706. DOI: 10.1016/j.jsv.2007.09.022. 7 Şahin Í, Engin T, Çeşmeci Ş. Comparison of some existing parametric models for magnetorheological fluid dampers. Journal of Smart Materials and Structures 2010; 19. DOI: 10.1088/0964-1726/19/3/035012. 8 Ikhouane F, Rodellar J. Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model. Wiley: Chichester, U.K., 2007. 9 Ikhouane F, Dyke SJ. Modeling and identification of a shear mode magnetorheological damper. Journal of Smart Materials and Structures 2007; 16: 605– 616. DOI: 10.1088/0964-1726/16/3/007. 10 Rodriguez A, Ikhouane F, Rodellar J, Luo N. Modeling and identification of a small-scale magnetorheological damper. Journal of Intelligent Material Systems and Structures 2009; 20: 825– 835. DOI: 10.1177/1045389X08098440. 11 Rodriguez A, Iwata N, Ikhouane F, Rodellar J. Model identification of a large-scale magnetorheological fluid damper. Journal of Smart Materials and Structures 2009; 18. DOI: 10.1088/0964-1726/18/1/015010. 12 Dahl PR. Solid friction damping of mechanical vibrations. AIAA Journal 1976; 14: 1675– 1682. 13 Bouc R. Modèle mathématique d'hystérésis (a mathematical model for hysteresis). Acustica 1971; 21: 16– 25. 14 Ikhouane F, Rodellar J. On the hysteretic Bouc-Wen model. Part I: forced limit cycle characterization. Nonlinear Dynamics 2005; 42: 63– 78. DOI: 10.1007/s11071-005-0069-3. 15 Ikhouane F, Rodellar J, Hurtado JE. Analytical characterization of hysteresis loops described by the Bouc-Wen model. Mechanics of Advanced Materials and Structures 2006; 13: 463– 472. DOI: 10.1080/15376490600862830. 16 Yang G, Spencer Jr BF, Carlson JD, Sain MK. Large-scale MR fluid dampers: modeling and dynamic performance considerations. Journal of Engineering Structures 2002; 24: 309– 323. 17 Bahar A, Pozo F, Acho L, Rodellar J, Barbat A. Hierarchical semi-active control of base-isolated structures using a new inverse model of magnetorheological dampers. Journal of Computers and Structures 2010; 88: 483– 496. DOI: 10.1016/j.compstruc.2010.01.006. 18 Kwok NM, Ha QP, Nguyen TH, Li J, Samali B. A novel hysteretic model for magnetorheological fluid damper and parameter identification using particle swarm optimization. Journal of Sensor and Actuators A: Physical 2006; 132: 441– 451. DOI: 10.1016/j.sna.2006.03.015. 19 Yoshioka H, Ramallo JC, Spencer Jr BF. Smart base isolation strategies employing magnetorheological dampers. Journal of Engineering Mechanics 2002; 128: 540– 551. DOI: 10.1061/(ASCE)0733-9399(2002)128:5(540). 20 Dyke SJ, Spencer Jr BF, Sain MK, Carlson JD. Modeling and control of magnetorheological dampers for seismic response reduction. Journal of Smart Materials and Structures 2002; 5: 565– 575. DOI: 10.1088/0964-1726/5/5/006, 1996. 21 Sahasrabudhe S, Nagarajaiah S. Semi-active control of sliding isolated bridges using MR dampers: an experimental and numerical study. Earthquake Engineering and Structural Dynamics 2005; 34: 965– 983. DOI: 10.1002/eqe.464. 22 Casciati F, Magonette G, Marazzi F. Technology of Semiactive Devices and Applications in Vibration Mitigation. Wiley: New York, 2006. 23 Jansen LM, Dyke SJ. Semi-active control strategies for the MR damper: comparative study. Journal of Engineering Mechanics (ASCE) 2000; 126: 795– 803. DOI: 10.1061/(ASCE)0733-9399(2000)126:8(795). Citing Literature Volume19, Issue3April 2012Pages 332-347 ReferencesRelatedInformation

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
脆脆蛋卷发布了新的文献求助10
1秒前
qianlu完成签到 ,获得积分10
3秒前
3秒前
小白白完成签到 ,获得积分10
3秒前
哎呦喂完成签到,获得积分10
3秒前
zxdzaz完成签到 ,获得积分10
4秒前
HU发布了新的文献求助10
4秒前
5秒前
dato12423完成签到,获得积分10
5秒前
5秒前
jagger发布了新的文献求助10
6秒前
6秒前
mtt完成签到,获得积分10
6秒前
7秒前
7秒前
阳光桐完成签到,获得积分10
7秒前
Wind应助meng采纳,获得10
8秒前
darling完成签到,获得积分10
8秒前
8秒前
9秒前
lulu发布了新的文献求助10
10秒前
研友_VZG7GZ应助Xuesen采纳,获得10
10秒前
负责戎发布了新的文献求助30
10秒前
CipherSage应助拉长的靖雁采纳,获得10
11秒前
Jason完成签到,获得积分10
11秒前
zhaoxi完成签到 ,获得积分10
11秒前
貔貅发布了新的文献求助10
11秒前
充电咖啡发布了新的文献求助10
11秒前
土豪的钻石完成签到,获得积分10
12秒前
完美世界应助蒋丞卿采纳,获得10
12秒前
大模型应助乐意采纳,获得10
13秒前
老实茉莉发布了新的文献求助10
13秒前
达菲发布了新的文献求助10
13秒前
14秒前
辛涩发布了新的文献求助10
14秒前
14秒前
15秒前
孤独雪柳发布了新的文献求助10
16秒前
TonyLee完成签到,获得积分10
17秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
The Social Psychology of Citizenship 1000
Streptostylie bei Dinosauriern nebst Bemerkungen über die 540
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5923464
求助须知:如何正确求助?哪些是违规求助? 6932842
关于积分的说明 15821299
捐赠科研通 5051114
什么是DOI,文献DOI怎么找? 2717628
邀请新用户注册赠送积分活动 1672409
关于科研通互助平台的介绍 1607785