Constrained H̳₂ design via convex optimization with applications

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1998.

Bibliographic Details
Main Author: Lintereur, Beau V. (Beau Vincent), 1973-
Other Authors: Brent D. Appleby.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/50628
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author Lintereur, Beau V. (Beau Vincent), 1973-
author2 Brent D. Appleby.
author_facet Brent D. Appleby.
Lintereur, Beau V. (Beau Vincent), 1973-
author_sort Lintereur, Beau V. (Beau Vincent), 1973-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1998.
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spelling mit-1721.1/506282019-04-11T07:19:31Z Constrained H̳₂ design via convex optimization with applications Lintereur, Beau V. (Beau Vincent), 1973- Brent D. Appleby. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1998. In title on t.p., double-underscored "H" appears in script. Includes bibliographical references (p. 133-138). A convex optimization controller design method is presented which minimizes the closed-loop H2 norm, subject to constraints on the magnitude of closed-loop transfer functions and transient responses due to specified inputs. This method uses direct parameter optimization of the closed-loop Youla or Q-parameter where the variables are the coefficients of a stable orthogonal basis. The basis is constructed using the recently rediscovered Generalized Orthonormal Basis Functions (GOBF) that have found application in system identification. It is proposed that many typical control specifications including robustness to modeling error and gain and phase margins can be posed with two simple constraints in the frequency and time domain. With some approximation, this formulation allows the controller design problem to be cast as a quadratic program. Two example applications demonstrate the practical utility of this method for real systems. First this method is applied to the roll axis of the EOS-AM1 spacecraft attitude control system, with a set of performance and robustness specifications. The constrained H2 controller simultaneously meets the specifications where previous model-based control studies failed. Then a constrained H2 controller is designed for an active vibration isolation system for a spaceborne optical technology demonstration test stand. Mixed specifications are successfully incorporated into the design and the results are verified with experimental frequency data. by Beau V. Lintereur. S.M. 2010-01-07T21:03:22Z 2010-01-07T21:03:22Z 1998 1998 Thesis http://hdl.handle.net/1721.1/50628 48193387 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 138 p. application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Lintereur, Beau V. (Beau Vincent), 1973-
Constrained H̳₂ design via convex optimization with applications
title Constrained H̳₂ design via convex optimization with applications
title_full Constrained H̳₂ design via convex optimization with applications
title_fullStr Constrained H̳₂ design via convex optimization with applications
title_full_unstemmed Constrained H̳₂ design via convex optimization with applications
title_short Constrained H̳₂ design via convex optimization with applications
title_sort constrained h₂ design via convex optimization with applications
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/50628
work_keys_str_mv AT lintereurbeauvbeauvincent1973 constrainedh2designviaconvexoptimizationwithapplications