A new method for the real-time identification of mechanical system modal parameters is used in order to design different adaptive control logics aiming to reduce the vibrations in a carbon fiber plate smart structure. It is instrumented with three piezoelectric actuators, three accelerometers and three strain gauges. The real-time identification is based on a recursive subspace tracking algorithm whose outputs are elaborated by an ARMA model. A statistical approach is finally applied to choose the modal parameter correct values. These are given in input to model-based control logics such as a gain scheduling and an adaptive LQR control.

An adaptive optimal control for smart structures based on the subspace tracking identification technique

RIPAMONTI, FRANCESCO;RESTA, FERRUCCIO;CAZZULANI, GABRIELE
2014-01-01

Abstract

A new method for the real-time identification of mechanical system modal parameters is used in order to design different adaptive control logics aiming to reduce the vibrations in a carbon fiber plate smart structure. It is instrumented with three piezoelectric actuators, three accelerometers and three strain gauges. The real-time identification is based on a recursive subspace tracking algorithm whose outputs are elaborated by an ARMA model. A statistical approach is finally applied to choose the modal parameter correct values. These are given in input to model-based control logics such as a gain scheduling and an adaptive LQR control.
2014
Proceedings of SPIE - The International Society for Optical Engineering
978-081949983-7
Adaptive control, ARMA/X models, Real-time identification, Subspace tracking
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/935975
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