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Generation of linear dynamic models from a digital nonlinear simulationThe results and methodology used to derive linear models from a nonlinear simulation are presented. It is shown that averaged positive and negative perturbations in the state variables can reduce numerical errors in finite difference, partial derivative approximations and, in the control inputs, can better approximate the system response in both directions about the operating point. Both explicit and implicit formulations are addressed. Linear models are derived for the F 100 engine, and comparisons of transients are made with the nonlinear simulation. The problem of startup transients in the nonlinear simulation in making these comparisons is addressed. Also, reduction of the linear models is investigated using the modal and normal techniques. Reduced-order models of the F 100 are derived and compared with the full-state models.
Document ID
19790008625
Acquisition Source
Legacy CDMS
Document Type
Technical Publication (TP)
Authors
Daniele, C. J. (NASA Lewis Research Center Cleveland, OH, United States)
Krosel, S. M. (NASA Lewis Research Center Cleveland, OH, United States)
Date Acquired
September 3, 2013
Publication Date
February 1, 1979
Subject Category
Aeronautics (General)
Report/Patent Number
NASA-TP-1388
E-9490
Accession Number
79N16796
Funding Number(s)
PROJECT: RTOP 505-05
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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