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Proceedings Paper

Adaptive feedback control using coprime factorization
Author(s): Mark A. McEver; Daniel G. Cole; Robert L. Clark
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Paper Abstract

An algorithm is presented which uses adaptive Q-parameterized compensators for control of stable or unstable systems. Internal stability is maintained by forming the compensator out of plant-stabilizing coprime factors, and an on-line gradient descent method adapts the free parameter to minimize the mean squared error between the desired and actual output. The adaptation algorithm is derived for a compensator in the form of a finite impulse response (FIR) filter and a lattice infinite impulse response (IIR) filter. Simulations predict good performance for both tonal and broadband disturbances, and a duct noise control experiment results in a 37 dB tonal reduction.

Paper Details

Date Published: 10 July 2002
PDF: 12 pages
Proc. SPIE 4693, Smart Structures and Materials 2002: Modeling, Signal Processing, and Control, (10 July 2002); doi: 10.1117/12.475220
Show Author Affiliations
Mark A. McEver, Duke Univ. (United States)
Daniel G. Cole, Duke Univ. (United States)
Robert L. Clark, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 4693:
Smart Structures and Materials 2002: Modeling, Signal Processing, and Control
Vittal S. Rao, Editor(s)

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