Share Email Print

Proceedings Paper

Wireless feedback structural control with embedded computing
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In recent years, substantial research has been conducted to advance structural control as a direct means of mitigating the dynamic response of civil structures. In parallel to these efforts, the structural engineering field is currently exploring low-cost wireless sensors for use in structural monitoring systems. To reduce the labor and costs associated with installing extensive lengths of coaxial wires in today's structural control systems, wireless sensors are being considered as building blocks of future systems. In the proposed system, wireless sensors are designed to perform three major tasks in the control system; wireless sensors are responsible for the collection of structural response data, calculation of control forces, and issuing commands to actuators. In this study, a wireless sensor is designed to fulfill these tasks explicitly. However, the demands of the control system, namely the need to respond in real-time, push the limits of current wireless sensor technology. The wireless channel can introduce delay in the communication of data between wireless sensors; in some rare instances, outright data loss can be experienced. Such issues are considered an intricate part of this feasibility study. A prototype Wireless Structural Sensing and Control (WiSSCon) system is presented herein. To validate the performance of this prototype system, shaking table experiments are carried out on a half-scale three story steel structure in which a magnetorheological (MR) damper is installed for real-time control. In comparison to a cable-based control system installed in the same structure, the performance of the WiSSCon system is shown to be effective and reliable.

Paper Details

Date Published: 15 March 2006
PDF: 12 pages
Proc. SPIE 6177, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems V, 61770C (15 March 2006); doi: 10.1117/12.658908
Show Author Affiliations
Yang Wang, Stanford Univ. (United States)
Andrew Swartz, Univ. of Michigan (United States)
Jerome P. Lynch, Univ. of Michigan (United States)
Kincho H. Law, Stanford Univ. (United States)
Kung-Chun Lu, National Taiwan Univ. (Taiwan)
Chin-Hsiung Loh, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6177:
Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems V
Tribikram Kundu, Editor(s)

© SPIE. Terms of Use
Back to Top