Parameter estimation of thrust models of uninhabited airborne systems
Perez, Tristan, De Lamberterie, Pierre, Donaire, Alejandro, & Revestido-Herrero, Elias (2010) Parameter estimation of thrust models of uninhabited airborne systems. In Indiveri, Giovanni & Pascoal, Antonio M (Eds.) Proceedings of the 7th IFAC Symposium on Intelligent Autonomous Vehicles (2010), The International Federation of Automatic Control (IFAC), University of Salento, Lecce, Italy, pp. 354-359.
This paper presents a method for the estimation of thrust model parameters of uninhabited airborne systems using specific flight tests. Particular tests are proposed to simplify the estimation. The proposed estimation method is based on three steps. The first step uses a regression model in which the thrust is assumed constant. This allows us to obtain biased initial estimates of the aerodynamic coeficients of the surge model. In the second step, a robust nonlinear state estimator is implemented using the initial parameter estimates, and the model is augmented by considering the thrust as random walk. In the third step, the estimate of the thrust obtained by the observer is used to fit a polynomial model in terms of the propeller advanced ratio. We consider a numerical example based on Monte-Carlo simulations to quantify the sampling properties of the proposed estimator given realistic flight conditions.
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|Item Type:||Conference Paper|
|Additional Information:||This work is being sponsored by The Australian Research Council through the Centre for Complex Dynamic Systems and Control and Boeing Research & Technology Australia.|
|Keywords:||Aerospace, Aircraft, Nonlinear filtering, Least squares, Parameter estimation, Regression, Unscented Kalman filters|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2010 please consult author(s)|
|Deposited On:||14 May 2014 02:06|
|Last Modified:||12 Jun 2014 01:05|
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