Presentation + Paper
15 April 2016 Input space-dependent controller for multi-hazard mitigation
Author Affiliations +
Abstract
Semi-active and active structural control systems are advanced mechanical devices and systems capable of high damping performance, ideal for mitigation of multi-hazards. The implementation of these devices within structural systems is still in its infancy, because of the complexity in designing a robust closed-loop control system that can ensure reliable and high mitigation performance. Particular challenges in designing a controller for multi-hazard mitigation include: 1) very large uncertainties on dynamic parameters and unknown excitations; 2) limited measurements with probabilities of sensor failure; 3) immediate performance requirements; and 4) unavailable sets of input-output during design. To facilitate the implementation of structural control systems, a new type of controllers with high adaptive capabilities is proposed. It is based on real-time identification of an embedding that represents the essential dynamics found in the input space, or in the sensors measurements. This type of controller is termed input-space dependent controllers (ISDC). In this paper, the principle of ISDC is presented, their stability and performance derived analytically for the case of harmonic inputs, and their performance demonstrated in the case of different types of hazards. Results show the promise of this new type of controller at mitigating multi-hazards by 1) relying on local and limited sensors only; 2) not requiring prior evaluation or training; and 3) adapting to systems non-stationarities.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liang Cao and Simon Laflamme "Input space-dependent controller for multi-hazard mitigation", Proc. SPIE 9799, Active and Passive Smart Structures and Integrated Systems 2016, 97992H (15 April 2016); https://doi.org/10.1117/12.2219263
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Control systems

Sensors

Adaptive control

Lithium

Computer simulations

Control systems design

Data modeling

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