The feasibility of using a constrained Delaunay triangulation method for determining optimal flight trajectories of unmanned air vehicles in a constrained environment is explored. Current methods for developing optimal flight trajectories have yet to achieve computational times that allow for real-time implementation. The proposed method alleviates the dependency of problem specific parameters while eliminating constraints on the Non-Linear Program. Given an input of obstacles with n vertices, a constrained Delaunay triangulation is performed on the space. Converting the vertices of the triangulation to barycentric coordinates on a phased approach defines the state bounds and max time for each phase. With two-dimensional aircraft dynamics, direct orthogonal collocation methods are performed to compute the optimal flight trajectory. Results illustrate computational times and feasibility of Small Unmanned Aircraft System flight trajectories through polygon constraints.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5829-5
PROCEEDINGS PAPER
Simplex Methods for Optimal Control of Unmanned Aircraft Flight Trajectories
Michael D. Zollars,
Michael D. Zollars
Air Force Institute of Technology, Wright-Patterson AFB, OH
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Richard G. Cobb
Richard G. Cobb
Air Force Institute of Technology, Wright-Patterson AFB, OH
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Michael D. Zollars
Air Force Institute of Technology, Wright-Patterson AFB, OH
Richard G. Cobb
Air Force Institute of Technology, Wright-Patterson AFB, OH
Paper No:
DSCC2017-5031, V003T39A001; 10 pages
Published Online:
November 14, 2017
Citation
Zollars, MD, & Cobb, RG. "Simplex Methods for Optimal Control of Unmanned Aircraft Flight Trajectories." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems. Tysons, Virginia, USA. October 11–13, 2017. V003T39A001. ASME. https://doi.org/10.1115/DSCC2017-5031
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