Tantaroudas, Nikolaos D, Da Ronch, Andrea, Gai, Guanqun and Badcock, Kenneth J
(2014)
An Adaptive Aeroelastic Control Approach using Non Linear Reduced Order Models.
In: 14th AIAA Aviation Technology, Integration, and Operations Conference, 2014-6 - 2014-6, Atlanta, Georgia.
Text
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Abstract
A systematic approach to the model order reduction of high fidelity coupled fluid- structure/flight dynamics models and the subsequent control design is described. It uses information on the eigenspectrum of the coupled-system Jacobian matrix and projects the system through a series expansion onto a small basis of eigenvectors representative of the full-model dynamics. A nonlinear reduced order model is derived and is exploited for a worst case gust and adaptive control design. The investigation focuses on a flight control design based on the model reference adaptive control scheme via the Lyapunov stability approach. The novelty of this paper is two-fold. Firstly, it uses a single nonlinear reduced model for parametric worst case gust search. Secondly, it is shown that it makes feasible an implementation of a complex control methodology for a large nonlinear system. The adaptive controller is able to alleviate gust loads for a three degrees-of-freedom aerofoil and for an unmanned aerial vehicle. An investigation for the adaptation parameters is performed and their effect on control input actuation and aeroelastic closed-loop response is discussed.
Item Type: | Conference or Workshop Item (Paper) |
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Depositing User: | Symplectic Admin |
Date Deposited: | 14 Sep 2015 09:18 |
Last Modified: | 27 Apr 2024 14:47 |
DOI: | 10.2514/6.2014-2590 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/2025839 |