Missile trajectory shaping using sampling-based path planning

Abstract : This paper presents missile guidance as a complex robotic problem: a hybrid non-linear system moving in a heterogeneous environment. The proposed solution to this problem combines a sampling-based path planner, Dubins' curves and a locally-optimal guidance law. This algorithm aims to find feasible trajectories that anticipate future flight conditions, especially the loss of manoeuverability at high altitude. Simulated results demonstrate the substantial performance improvements over classical midcourse guidance laws and the benefits of using such methods, well-known in robotics, in the missile guidance field of research.
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Pawit Pharpatara, Romain Pepy, Bruno Hérissé, Yasmina Bestaoui. Missile trajectory shaping using sampling-based path planning. 26th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), Nov 2013, Tokyo, Japan. pp.2533--2538, ⟨10.1109/IROS.2013.6696713⟩. ⟨hal-00860192⟩

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