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Proceedings Paper

Linear and non-linear systems identification for adaptive control in mechanical applications vibration suppression
Author(s): Gabriele Cazzulani; Ferruccio Resta; Francesco Ripamonti
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Paper Abstract

During the last years, more and more mechanical applications saw the introduction of active control strategies. In particular, the need of improving the performances and/or the system health is very often associated to vibration suppression. This goal can be achieved considering both passive and active solutions. In this sense, many active control strategies have been developed, such as the Independent Modal Space Control (IMSC) or the resonant controllers (PPF, IRC, . . .). In all these cases, in order to tune and optimize the control strategy, the knowledge of the system dynamic behaviour is very important and it can be achieved both considering a numerical model of the system or through an experimental identification process. Anyway, dealing with non-linear or time-varying systems, a tool able to online identify the system parameters becomes a key-point for the control logic synthesis. The aim of the present work is the definition of a real-time technique, based on ARMAX models, that estimates the system parameters starting from the measurements of piezoelectric sensors. These parameters are returned to the control logic, that automatically adapts itself to the system dynamics. The problem is numerically investigated considering a carbon-fiber plate model forced through a piezoelectric patch.

Paper Details

Date Published: 27 March 2012
PDF: 10 pages
Proc. SPIE 8341, Active and Passive Smart Structures and Integrated Systems 2012, 83411V (27 March 2012); doi: 10.1117/12.915190
Show Author Affiliations
Gabriele Cazzulani, Politecnico di Milano (Italy)
Ferruccio Resta, Politecnico di Milano (Italy)
Francesco Ripamonti, Politecnico di Milano (Italy)


Published in SPIE Proceedings Vol. 8341:
Active and Passive Smart Structures and Integrated Systems 2012
Henry A. Sodano, Editor(s)

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