Many-to-One Pursuit-Evasion Differential Game Method for UAVs Using Sequential Convex Programming

Aiming at the many-to-one pursuit-evasion game problem for fixed-wing unmanned aerial vehicles (UAVs) with complete kinematic constraints, this paper proposes a sequential convex programming-based differential game method for UAVs. The method decouples the coupled pursuit-evasion differential game p...

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Bibliographic Details
Published in:Proceedings of ... IEEE International Conference on Unmanned Systems (Online) pp. 1499 - 1504
Main Authors: Tang, Haonan, Chen, Gong, Bai, Chengchao, Guo, Jifeng
Format: Conference Proceeding
Language:English
Published: IEEE 13.10.2023
Subjects:
Autonomous aerial vehicles
differential game
Differential games
fixed-wing swarm
Games
Kinematics
Linear programming
many-to-one pursuit-evasion
Programming
sequential convex programming
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ISSN:2771-7372
Online Access:Get full text
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Summary:Aiming at the many-to-one pursuit-evasion game problem for fixed-wing unmanned aerial vehicles (UAVs) with complete kinematic constraints, this paper proposes a sequential convex programming-based differential game method for UAVs. The method decouples the coupled pursuit-evasion differential game problem into several differential game subproblems and transforms the non-convex escape objective function into an anti-capture constraint. Linearization is used to convexify the constraint, and then the penalty function method is leveraged to transform the constraint into a convex constraint penalty function. Consequently, the differential game subproblems are transformed into multiple sequence convex programming problems so that the approximate saddle-point solutions can be efficiently and quickly solved. The simulation experiment is conducted in a three-to-one pursuit-evasion game scenario, and the results demonstrate the effectiveness of the proposed method.
ISSN:2771-7372
DOI:10.1109/ICUS58632.2023.10318449