Decentralization of Smart Structure Technologies Ð

Semi-Active Structural Control and Wireless Monitoring

 

Professor Jerome P. Lynch

 

University of Michigan

 Department of Civil and Environmental Engineering

 

A smart civil structure is defined by the inclusion of sensing and actuation technologies embedded within the system to monitor and control the structureÕs response.  The past thirty years have been characterized by a revolution in the field of smart structure technologies with sensors and actuators both reducing in size, power demands and unit costs.  This presentation is chiefly focused upon enhancing the performance of smart structure technologies through decentralization of the monitoring and control architectures.  The benefits of installing a monitoring system in a structure are multiple, including opportunities to assess the health of structural systems over their expected life spans.  Historically, monitoring systems for civil structures are wire-based and employ hub-spoke system architectures; unfortunately, high installation and maintenance costs prevent them from becoming widely adopted.  Using available technologies from the marketplace, a low cost wireless alternative to traditional wire-based sensing systems has been developed.  Convergence of powerful mobile computing with sensing allows for extensive data interrogation to be performed at the sensor in a decentralized computing network.  Structural control systems are often used to limit the response of structures during external disturbances such as strong winds or large seismic events.  As the trend of control devices progresses towards smaller and cheaper actuators, structural control systems will be characterized by increasingly larger arrays of actuators.   This complex large-scale dynamic system is best controlled by decentralized control approaches.  A novel approach based upon static economic optimization methods is proposed to control large-scale dynamic systems.  Termed market-based control, the method has been shown to perform well in semi-active structural control systems.   

 

Friday, April 2, 2004

3:30 Ð 4:30 p.m.

1500 EECS