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Journal ArticleDOI

Flight Test of Optimal Inputs and Comparison with Conventional Inputs

Eugene A. Morelli
- 01 Mar 1999 - 
- Vol. 36, Iss: 2, pp 389-397
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TLDR
In this paper, a technique for designing optimal inputs for aerodynamic parameter estimation was flight tested on the F-18 High Alpha Research Vehicle (HARV) and compared on an equal basis for optimal input designs and conventional inputs at the same flight condition.
Abstract
A technique for designing optimal inputs for aerodynamic parameter estimation was flight tested on the F-18 High Alpha Research Vehicle. Model parameter accuracies calculated from flight-test data were compared on an equal basis for optimal input designs and conventional inputs at the same flight condition. In spite of errors in the a priori input design models and distortions of the input forms by the feedback control system, analysis of data generated by the optimal inputs revealed lower estimated parameter errors compared with conventional 3-2-1-1 and doublet inputs. In addition, the tests using optimal input designs demonstrated enhanced design flexibility, allowing the optimal input design technique to use a larger input amplitude to achieve further increases in estimated parameter accuracy without departing from the desired flight-test condition. This work validated the analysis used to develop the optimal input designs, and demonstrated the feasibility and effectiveness of the optimal input design technique.

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Citations
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System IDentification Programs for AirCraft (SIDPAC)

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Application of System Identification to Aircraft at NASA Langley Research Center

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Hyper-X Post-Flight Trajectory Reconstruction

TL;DR: In this paper, a trajectory reconstruction tool for the NASA X-43A/Hyper-X high-speed research vehicle and its implementation for the reconstruction and analysis of flight-test data are discussed.
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Hyper{X Post{Flight Trajectory Reconstruction

TL;DR: The formulation and development of a trajectory reconstruction tool for the NASA X-43A/Hyper-X high-speed research vehicle and its implementation for the reconstruction and analysis of flight-test data are discussed.
Proceedings ArticleDOI

Real-Time System Identification of a Small Multi-Engine Aircraft

TL;DR: In this article, the authors used the recursive Fourier transform regression (FTR) method in frequency domain to estimate the six degree of freedom (6DOF) model of an aircraft.
References
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Estimation of bias errors in measured airplane responses using maximum likelihood method

TL;DR: A maximum likelihood method is used for estimation of unknown bias errors in measured airplane responses and the results are compared with those obtained by using a nonlinear-fixed-interval-smoother and an extended Kalmar filter.
Journal ArticleDOI

Flight Test Results of Five Input Signals for Aircraft Parameter Identification

TL;DR: In this article, a joint Dutch/German aircraft parameter identification program has been conducted to investigate various factors affecting identification results, which led to five test signals which were implemented via a hydraulic control system in a flight test program with a De Havilland DHO-2 Beaver experimental aircraft.

Status of input design for aircraft parameter identification

TL;DR: Results are presented on the design of aircraft inputs to identify aircraft stability and control derivatives from flight test data using the Cramer-Rao lower bound on the covariance matrix of the parameter estimates.

Simulation Model of the F/A-18 High Angle-of-Attack Research Vehicle Utilized for the Design of Advanced Control Laws

TL;DR: The f18harv 6 degree-of-freedom nonlinear batch simulation used to support research in advanced control laws and flight dynamics issues as part of NASA''s High Alpha Technology Program is described in this paper.
Journal ArticleDOI

Flight Test Validation of Optimal Input Design Using Pilot Implementation

TL;DR: Flight tests on the F-18 High Angle of Attack Research Vehicle indicated that the optimal input designs resulted in a 17-70% improvement in the accuracy of all estimated aerodynamic parameters.