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Reduced order system identification for UAVs

Published online by Cambridge University Press:  27 January 2016

P-D. Jameson  and
A. K. Cooke
P-D. Jameson
Affiliation:
[email protected]
A. K. Cooke
Affiliation:
[email protected], Dynamics, Simulation and Control Group Centre for Aeronautics, Cranfield University, Bedfordshire, UK
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Abstract

Reduced order models representing the dynamic behaviour of symmetric aircraft are well known and can be easily derived from the standard equations of motion. In flight testing, accurate measurements of the dependent variables which describe the linearised reduced order models for a particular flight condition are vital for successful system identification. However, not all the desired measurements such as the rate of change in vertical velocity (Ẇ) can be accurately measured in practice. In order to determine such variables two possible solutions exist: reconstruction or differentiation. This paper addresses the effect of both methods on the reliability of the parameter estimates. The methods are used in the estimation of the aerodynamic derivatives for the Aerosonde UAV from a recreated flight test scenario in Simulink. Subsequently, the methods are then applied and compared using real data obtained from flight tests of the Cranfield University Jetstream 31 (G-NFLA) research aircraft.

Type
Research Article
Information
The Aeronautical Journal , Volume 119 , Issue 1218 , August 2015 , pp. 961 - 980
Copyright
Copyright © Royal Aeronautical Society 2015

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