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Robust trajectory optimisation for transitions of tiltwing VTOL aircraft

Abstract:
We propose a method to generate robust and optimal trajectories for the transition of a tiltwing Vertical Take-Off and Landing (VTOL) aircraft leveraging concepts from convex optimisation, tube-based nonlinear Model Predictive Control (MPC) and Difference of Convex (DC) functions decomposition. The approach relies on computing DC decompositions of dynamic models in order to exploit convexity properties and develop a tractable robust optimisation that solves a sequence of convex programs converging to a local optimum of the trajectory generation problem. The algorithm developed is applied to an Urban Air Mobility case study. The resulting solutions are robust to approximation errors in dynamic models and provide safe trajectories for aggressive transition manoeuvres at constant altitude.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CCTA54093.2023.10253282

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
IEEE
Host title:
2023 IEEE Conference on Control Technology and Applications (CCTA)
Pages:
425-431
Publication date:
2023-09-22
Acceptance date:
2023-06-09
Event title:
7th IEEE Conference on Control Technology and Applications (CCTA) 2023
Event location:
Bridgetown, Barbados
Event website:
https://ieeeccta.org/
Event start date:
2023-08-16
Event end date:
2023-08-18
DOI:
EISSN:
2768-0770
ISSN:
2768-0762
EISBN:
9798350335446
ISBN:
9798350335453


Language:
English
Keywords:
Pubs id:
1505672
Local pid:
pubs:1505672
Deposit date:
2023-08-08

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