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Modeling, estimation and identification methods for static shape determination of flexible structuresThis paper outlines methods for modeling, identification and estimation for static determination of flexible structures. The shape estimation schemes are based on structural models specified by (possibly interconnected) elliptic partial differential equations. The identification techniques provide approximate knowledge of parameters in elliptic systems. The techniques are based on the method of maximum-likelihood that finds parameter values such that the likelihood functional associated with the system model is maximized. The estimation methods are obtained by means of a function-space approach that seeks to obtain the conditional mean of the state given the data and a white noise characterization of model errors. The solutions are obtained in a batch-processing mode in which all the data is processed simultaneously. After methods for computing the optimal estimates are developed, an analysis of the second-order statistics of the estimates and of the related estimation error is conducted. In addition to outlining the above theoretical results, the paper presents typical flexible structure simulations illustrating performance of the shape determination methods.
Document ID
19860058485
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Rodriguez, G.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Scheid, R. E., Jr.
(California Institute of Technology Jet Propulsion Laboratory, Pasadena, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1986
Subject Category
Spacecraft Design, Testing And Performance
Report/Patent Number
AAS PAPER 85-424
Accession Number
86A43223
Distribution Limits
Public
Copyright
Other

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