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Frontiers of Mechanical Engineering

ISSN 2095-0233

ISSN 2095-0241(Online)

CN 11-5984/TH

Postal Subscription Code 80-975

2018 Impact Factor: 0.989

Front. Mech. Eng.    2009, Vol. 4 Issue (4) : 386-392    https://doi.org/10.1007/s11465-009-0041-x
Research articles
New decentralized control technique based on substructure and LQG approaches
Ying LEI,Ying LIN,
Department of Civil Engineering, Xiamen University, Xiamen 361006, China;
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Abstract Decentralized control is more suitable for structural control of large-scale structures. In this paper, a new decentralized control technique is proposed based on the linear quadratic Gaussian (LQG) and substructure approaches. A large-scale structure is divided into a set of smaller substructures. Each substructure is controlled by its own local controller with interaction forces at substructural interfaces, which are considered as “unknown external inputs” to the substructure concerned. An algorithm of recursive least squares estimation for the unknown excitation is proposed. A numerical example of the decentralized control of a tall building is studied to illustrate the new proposed algorithm. Simulation results show that the proposed decentralized control provides satisfactory control performance when comparing with the conventional centralized LQG control algorithm and is viable for the future structural control of large-scale structures.
Keywords substructures      decentralized control      linear quadratic Gaussian (LQG)      Kalman filter      unknown input      least-squares estimation      
Issue Date: 05 December 2009
 Cite this article:   
Ying LEI,Ying LIN. New decentralized control technique based on substructure and LQG approaches[J]. Front. Mech. Eng., 2009, 4(4): 386-392.
 URL:  
https://academic.hep.com.cn/fme/EN/10.1007/s11465-009-0041-x
https://academic.hep.com.cn/fme/EN/Y2009/V4/I4/386
Lunze J. FeedbackControl of Large-scale Systems. NewYork: Prentice Hall, 1992
Siljak D D. Decentralized control and computations status and prospects. Automatic Review of Control, 1996, 20: 131―141
Ahmadian M. Asubstructural control technique for high-order systems. Journal of Vibration and Acoustics, Transactions of the ASME, 1994, 116: 215―222
Lynch J P, Wang Y, Swartz R A, Lu K C, Loh C H. Implementation of a closed-loop structuralcontrol system using wireless sensor networks. Structural Control and Health Monitoring, 2007, 15(4): 518―539

doi: 10.1002/stc.214
Swartz R A, Lynch J P. Redundant kalman estimationfor a distributed wireless structural control system. In: Proceedings of the US-Korea Workshop on Smart Structures for SteelStructures, Korea: Soul, 2006
Wang Y, Swartz R A, Lynch J P, Law K H, Lu K C, Loh C H. Decentralized civil structural control using real-time wireless sensingand embedded computing. Smart Structuresand Systems, 2007, 3(3): 321―340
Loh C H, Lynch J P, Lu K C, Wang Y, Chang C M, Lin P Y, Yeh T H. Experimental verificationof a wireless sensing and control system for structural control usingMR dampers. Earthquake Engng, Struct, Dyn, 2007, 36: 1303―1328

doi: 10.1002/eqe.682
Rofooel F R, Nezhad S M. Decentralized control oftall buildings. Struct, Design Tall Spec,Build, 2006, 15: 153―170

doi: 10.1002/tal.287
Zhou Q S, Duan Z D. Study of hierarchical decentralizedvibration control of structures. In: Proceedingsof SPIE Smart Structures and Materials, 2006, 6174 61740N–1–7
Yao J P. Concept of structure control. J Struct Eng,ASCE, 1972, 16(12): 1567―1574
Yang J N, Pan S, Huang H. An adaptive extended Kalman filter for structural damageidentifications II: unknown inputs. StructuralControl and Health Monitoring. 2006, 13: 849―867

doi: 10.1002/stc.84
Zhu W Q, Ying Z G, Ni Y Q, Ko J M. Optimal nonlinearstochastic control of hysteretic systems. Journal of Engineering Mechanics. ASCE, 2000, 126(10): 1027―1032

doi: 10.1061/(ASCE)0733-9399(2000)126:10(1027)
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