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An Overview of Latest Model Reduction and Control Methods of Large Flexible Space StructuresThe latest trends and theoretical developments involved with the modeling and control of Large Flexible Space Structures (LFSS) are described. The paper addresses first the basic problems, characteristics, and difficulties inherent in modeling and control of LFSS. Major sources of difficulties and errors are the stiffness and damping operators of the dynamic model. Extensions of Linear Quadratic Gaussian (LQG) theory as applied to LFSS are presented, including frequency-shaped cost functionals and perturbation methods. The minimum data/maximum entropy approach which uses a stochastic design model to overcome difficulties found in the LQG-based methods is described. Latest trends in system theory including balanced realization and singular-value analysis are used to determine reduced order controllers and models. Ad hoc methods such as component cost analysis and modal cost analysis are discussed in context with the closed-loop reduction problem of controller order versus performance. The minimum data/maximum entropy approach also addresses controller order versus performance. Those areas of control science and large scale systems that appear to have an important role in understanding and solving LFSS modeling and control are also identified.
Document ID
19850022878
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Santiago, J. M.
(New Mexico Univ. Albuquerque, NM, United States)
Lange, W. J., Jr.
(AFWL Albuquerque, NM, United States)
Jamshidi, M.
(New Mexico Univ.)
Date Acquired
August 12, 2013
Publication Date
April 1, 1985
Publication Information
Publication: JPL Proc. of the Workshop on Identification and Control of Flexible Space Struct., Vol. 2
Subject Category
Spacecraft Design, Testing And Performance
Accession Number
85N31191
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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