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Numerical investigation of aircraft high-speed runway exit using generalized optimal control
conference contributionposted on 2018-05-01, 14:03 authored by Zexin Huang, Matt BestMatt Best, James KnowlesJames Knowles
To aim at reducing aircraft turnaround time and improving airport operation efficiency, this paper considers the optimization of aircraft ground manoeuvres such as a high-speed runway exit. The aircraft on the ground is a highly nonlinear dynamical system described by a fully parameterized mathematical model. The full aircraft model used in this paper has been further developed to include combined slip tire model. An iterative simulation-based optimization algorithm known as Generalized Optimal Control is employed to investigate the optimal solution for the control input such as nose-gear steering, main-gear brakes and engine thrust. To achieve different control objectives, the cost function is defined accordingly and then minimized by GOC. The optimization results of GOC will help to explore the safety boundary of ground handling and guide the design of a real-time controller.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inAIAA Guidance Navigation and Control
CitationHUANG, Z., BEST, M.C. and KNOWLES, J.A.C., 2018. Numerical investigation of aircraft high-speed runway exit using generalized optimal control. Presented at the 2018 AIAA Guidance, Navigation, and Control Conference Kissimmee, Florida, 8–12 January.
Publisher© American Institute of Aeronautics and Astronautics
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis is the accepted version of a paper presented at the 2018 AIAA Guidance, Navigation, and Control Conference, the definitive published version can be found at https://doi.org/10.2514/6.2018-0879
Book seriesAIAA SciTech Forum;AIAA 2018-0879