File:A comparison of flight input techniques for parameter estimation of highly-augmented aircraft (IA acomparisonoffli1094510806).pdf
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A comparison of flight input techniques for parameter estimation of highly-augmented aircraft ( ) | ||
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Author |
Gates, Russell J. |
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Title |
A comparison of flight input techniques for parameter estimation of highly-augmented aircraft |
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Description |
Parameter estimation is an inverse process in which stability derivatives are determined from time history flight data by matching the aircraft mathematical model's computed response with the measured response of the aircraft. Accurate parameter estimation depends mainly on instrumentation and input technique. Input technique is the focus of this thesis in which both classical inputs and optimal inputs were applied under the same flight conditions to the High Angle of Attack Research Vehicle (HARV) at NASA Dryden Flight Research Center. Post flight parameter estimation was conducted in all cases using a maximum likelihood technique to determine estimated of stability and control derivatives and their respective Cramer-Rao bounds. The Cramer-Rao bound is the most useful measure of estimate accuracy when comparing results from different input techniques assuming the same mathematical model and minimization technique were used for the parameter estimates. Comparison of the Cramer-Rao bounds showed that of the four input techniques used for determining parameter estimates, the Dryden single-surface input technique yielded the most accurate parameters for 75 percent of the estimates in all cases. Application of these conclusions in further research can save time and costs. Subjects: Aerodynamics. |
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Language | English | |
Publication date |
September 1995 publication_date QS:P577,+1995-09-00T00:00:00Z/10 |
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Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
acomparisonoffli1094510806 |
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Source | ||
Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. |
Licensing edit
Public domainPublic domainfalsefalse |
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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Short title |
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Author | Gates, Russell J. |
Date and time of digitizing | 18:54, 21 January 2003 |
Software used | LuraDocument PDF Compressor Server 5.7.66.46 (original: tif_convert_2_ps()) |
File change date and time | 03:56, 22 January 2013 |
Date metadata was last modified | 03:56, 22 January 2013 |
Conversion program | Adobe Acrobat 9.52 Paper Capture Plug-in |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.4 |