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Abstract

This study investigates the feasibility of deploying wireless communication and embedded computing for structural control applications. A feedback structural control system involves a network of sensors and control devices. As control devices are becoming smaller, more cost effective and reliable, opportunities are now available to instrument a structure with large number of control devices. However, instrumenting a large scale centralized control system with cables can be time consuming, labor intensive, and difficult to maintain and reconfigure. This study explores decentralized feedback control using wireless sensors incorporated with a computational core and a signal generation module. Decentralized control architectures are designed to make control decisions based on data acquired from sensors located in the vicinity of a control device.

Specifically, this paper describes the experimental validation of a time-delayed decentralized structural control strategy that aims to minimize the H_* norm of a closed-loop control system. The decentralized controller design employs a homotopy method that gradually transforms a centralized controller into multiple decentralized controllers. Linear matrix inequality constraints are included in the homotopic transformation to ensure optimal control performance. The paper also describes our first implementation of a real-time wireless sensing and control system that achieves simultaneous communication within multiple wireless subnets. Different decentralized H_* control architectures are implemented with a network of wireless sensing and control units instrumented on a six-story scaled steel frame structure controlled by magnetorheological dampers. Shake table experiments are conducted to demonstrate the performance of the wireless decentralized control architectures.

Keywords

structural control wireless sensing feedback time delay decentralized control H-infinity control homotopy method linear matrix inequality

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Structural Control with Multi-Subnet Wireless Sensing Feedback: Experimental Validation of Time-Delayed Decentralized H * Control Design

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