An Adaptive Aeroelastic Control Approach using Non Linear Reduced Order Models

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.

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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)
Depositing User:	Symplectic Admin
Date Deposited:	14 Sep 2015 09:18
Last Modified:	24 Mar 2024 12:12
DOI:	10.2514/6.2014-2590
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/2025839