Strategic Network Utilization in a Wireless Structural Control System for Seismically Excited Structures
Publication: Journal of Structural Engineering
Volume 135, Issue 5
Abstract
The benefits associated with structural control include the mitigation of undesired structural responses and reduction in the probability of damage to structural components during seismic events. Structural control systems in current use depend on extensive wired communication systems to connect sensors and actuators with a centralized controller. While wired architectures are appropriate when control systems are small, the cost and installation complexity of tethered systems increases as the control system grows large (i.e., defined by hundreds of nodes). Alternatively, wireless sensors are proposed for use in large-scale structural control systems to keep costs low and to improve system scalability. Wireless sensors are capable of collecting state data from sensors, communicating data between themselves, calculating control actions, and commanding actuators in a control system. However, bandwidth and range limitations of the wireless communication channel render traditional centralized control solutions impractical for the wireless setting. While computational abilities embedded with each wireless sensor permit fully decentralized control architectures to be implemented, strategic utilization of the wireless channel can improve the performance of the wireless control system. Toward this end, this paper presents a partially decentralized linear quadratic regulation control scheme that employs redundant state estimation as a means of minimizing the need for the communication of state data between sensors. The method is validated using numerical simulations of a seismically excited six-story building model with ideal actuators. Additional experimental validation is conducted using a full-scale physical realization of the six-story building. A wireless sensor network commanding magnetorheological dampers is shown to be effective in controlling a multistory structure using the partially decentralized control architecture proposed.
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Acknowledgments
The writers would like to acknowledge their gratitude for invaluable assistance provided by Professor Dawn Tilbury of the University of Michigan, Professor Kincho H. Law of Stanford University, Professor Yang Wang of the Georgia Institute of Technology, and Professor Chin-Hsiung Loh of National Taiwan University. This research has been sponsored by the Office of Naval Research Young Investigator Program (ONRONR YIP).
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© 2009 ASCE.
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Received: Mar 31, 2008
Accepted: Oct 21, 2008
Published online: May 1, 2009
Published in print: May 2009
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