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16 August 2024 Real-time unpowered aircraft trajectory convex optimization for spatiotemporal aggregation of evader cluster and pursuer cluster
Chengze Wang, Jiamin Yan, Rui Lv
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Proceedings Volume 13218, First Aerospace Frontiers Conference (AFC 2024); 1321816 (2024) https://doi.org/10.1117/12.3032577
Event: First Aerospace Frontiers Conference (AFC 2024), 2024, Xi’an, China
Abstract
To enhance the cooperative operation pattern of unpowered aircraft and solve the problem of spatiotemporal aggregation of both evader cluster and pursuer cluster, a cooperative strategy is proposed to ensure consistent encounter time and encounter position for each pursuit-evasion group. With the cooperative strategy, the trajectory is solved quickly based on improved Sequential Convex Programming (SCP). The cooperative strategy of evader cluster is designed, and the solution model for multiple pursuit-evasion groups can be transformed into a trajectory optimization problem under the constraints of fixed coordination time and coordination position for each group to be solved in a distributed manner. To satisfy the demands of precision and real-time guidance, this paper integrates the Receding Horizon Control (RHC) to update the coordination time and coordination position during flight, and solve the trajectory optimization problem in real time. The simulation results show that under the set initial state range, the cooperative strategy can promote the consistency of the encounter time and position of all pursuit-evasion groups. Improved SCP can solve the two-side spatiotemporal aggregation problem quickly in real time when combined with RHC.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Chengze Wang, Jiamin Yan, and Rui Lv "Real-time unpowered aircraft trajectory convex optimization for spatiotemporal aggregation of evader cluster and pursuer cluster", Proc. SPIE 13218, First Aerospace Frontiers Conference (AFC 2024), 1321816 (16 August 2024); https://doi.org/10.1117/12.3032577
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KEYWORDS
Convex optimization
Erbium
Monte Carlo methods
Computer simulations
Control systems
Mathematical optimization
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