Techno Press
Techno Press

Smart Structures and Systems   Volume 3, Number 3, July 2007, pages 321-340
DOI: http://dx.doi.org/10.12989/sss.2007.3.3.321
 
Decentralized civil structural control using real-time wireless sensing and embedded computing
Yang Wang, R. Andrew Swartz, Jerome P. Lynch, Kincho H. Law, Kung-Chun Lu and Chin-Hsiung Loh

 
Abstract     [Full Text]
    Structural control technologies have attracted great interest from the earthquake engineering community over the last few decades as an effective method of reducing undesired structural responses. Traditional structural control systems employ large quantities of cables to connect structural sensors, actuators, and controllers into one integrated system. To reduce the high-costs associated with labor-intensive installations, wireless communication can serve as an alternative real-time communication link between the nodes of a control system. A prototype wireless structural sensing and control system has been physically implemented and its performance verified in large-scale shake table tests. This paper introduces the design of this prototype system and investigates the feasibility of employing decentralized and partially decentralized control strategies to mitigate the challenge of communication latencies associated with wireless sensor networks. Closed-loop feedback control algorithms are embedded within the wireless sensor prototypes allowing them to serve as controllers in the control system. To validate the embedment of control algorithms, a 3-story half-scale steel structure is employed with magnetorheological (MR) dampers installed on each floor. Both numerical simulation and experimental results show that decentralized control solutions can be very effective in attaining the optimal performance of the wireless control system.
 
Key Words
    structural control; wireless communication; embedded computing; decentralized control; velocity feedback control.
 
Address
Yang Wang; Department of Civil and Environmental Engineering, Stanford Univ., Stanford, CA 94305, USA
R. Andrew Swartz and Jerome P. Lynch; Department of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109, USA
Kincho H. Law; Department of Civil and Environmental Engineering, Stanford Univ., Stanford, CA 94305, USA
Kung-Chun Lu and Chin-Hsiung Loh; Department of Civil Engineering, National Taiwan Univ., Taipei, Taiwan
 

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2018 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: technop@chol.com