Trajectory Optimization with Complex Obstacle Avoidance Constraints via Homotopy Network Sequential Convex Programming

Space vehicles’ real-time trajectory optimization is the key to future automatic guidance. Still, the current sequential convex programming (SCP) method suffers from a low convergence rate and poor real-time performance when dealing with complex obstacle avoidance constraints (OACs). Given the above...

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Autors principals:	Wenbo Li, Wentao Li, Lin Cheng, Shengping Gong
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-11-01
Col·lecció:	Aerospace
Matèries:	real-time trajectory planning sequential convex programming homotopy technique deep neural network
Accés en línia:	https://www.mdpi.com/2226-4310/9/11/720
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