Print Email Facebook Twitter Optimal Control for Distributed Aeroelastic Morphing Structure with Uncertainties and Imperfections Title Optimal Control for Distributed Aeroelastic Morphing Structure with Uncertainties and Imperfections Author Mkhoyan, T. (TU Delft Arts & Crafts) Wang, Xuerui (TU Delft Group Wang) De Breuker, R. (TU Delft Group De Breuker) Date 2024 Abstract This research takes a further step towards the development of an autonomous aeroservoelastic wing concept with distributed flaps. The wing demonstrator, developed within the TU Delft SmartX project, aims to demonstrate in-flight performance optimization and multi-objective control using an over-actuated wing design. To address the challenges posed by the aeroelastic system's nonlinearities and uncertainties, this paper employs an optimal control method relying on solving the State-Dependent Riccati Equation (SDRE). Geometrical nonlinearities, introduced in the form of plunge and torsion stiffness, make the system state-dependent and unsuitable for linear control methods. Additionally, a backlash model is incorporated to represent the uncertainty of the actuation system. The control strategy is implemented in a multi-objective manner to perform maneuver and gust load alleviation while accounting for the nonlinearities and uncertainties using the SDRE control. Firstly, a numerical sample case is investigated involving a state-dependent and highly non-linear canard aircraft configuration, to assess the ability of the SDRE control method. Then, in a numerical experiment, the effectiveness of the control strategy is evaluated through the nonlinear aeroelastic model. Evaluations are made on the practicality of the control approach, laying a foundation for future static and dynamic wind tunnel experiments with the SmartX-Neo To reference this document use: http://resolver.tudelft.nl/uuid:4044dca9-7a65-444b-b733-31c8d11a4d8e DOI https://doi.org/10.2514/6.2024-0832 Publisher American Institute of Aeronautics and Astronautics Inc. (AIAA) ISBN 978-1-62410-711-5 Source Proceedings of the AIAA SCITECH 2024 Forum Event AIAA SCITECH 2024 Forum, 2024-01-08 → 2024-01-12, Orlando, United States Part of collection Institutional Repository Document type conference paper Rights © 2024 T. Mkhoyan, Xuerui Wang, R. De Breuker Files PDF mkhoyan_et_al_2024_optima ... ctions.pdf 8.6 MB Close viewer /islandora/object/uuid:4044dca9-7a65-444b-b733-31c8d11a4d8e/datastream/OBJ/view