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Proceedings Paper

Control/structure covariance optimization including performance robustness
Author(s): Jeffrey B. Layton
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Paper Abstract

The goal of this paper is to examine the benefits of integrated control/structure design optimization using covariance control in the presence of saturation limits and performance robustness. A key element of this approach is the use of a covariance parameterization of the control law, allowing saturation and performance robustness to be easily included. The controller design variables are the elements of the Cholesky decomposition of the closed loop system covariance matrix. Applying the approach to an example from the literature it was found that the total structural mass and the control effort were reduced while output rms for the nominal model was decreased. In addition, the optimizer was also able to meet the performance robustness constraints while reducing the performance robustness control effort measure. In examining the results, it was found that the optimizer judiciously altered the closed-loop system by adding phase between the modal resonance frequencies to improve the overall broad-band performance and to help with improving the robustness of the system.

Paper Details

Date Published: 5 May 1995
PDF: 14 pages
Proc. SPIE 2442, Smart Structures and Materials 1995: Mathematics and Control in Smart Structures, (5 May 1995); doi: 10.1117/12.208828
Show Author Affiliations
Jeffrey B. Layton, Clarkson Univ. (United States)

Published in SPIE Proceedings Vol. 2442:
Smart Structures and Materials 1995: Mathematics and Control in Smart Structures
Vasundara V. Varadan, Editor(s)

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