Sequential Convex Programming for Reentry Trajectory Optimization Utilizing Modified hp-Adaptive Mesh Refinement and Variable Quadratic Penalty

Sequential Convex Programming for Reentry Trajectory Optimization Utilizing Modified hp-Adaptive Mesh Refinement and Variable Quadratic Penalty

Due to the strong nonlinearity in the reentry trajectory planning problem for reusable launch vehicles (RLVs), the scale of the problem after high-precision discretization can become significantly large, and the non-convex path constraints are prone to exceed limits. Meanwhile, the objective functio...

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Bibliographic Details
Main Authors: Zhe Liu, Naigang Cui, Lifu Du, Jialun Pu
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Aerospace
Subjects:
reentry trajectory
hp-adaptive
sequential convex programming
mesh reduction
quadratic penalty
Online Access:https://www.mdpi.com/2226-4310/11/9/785

Internet

https://www.mdpi.com/2226-4310/11/9/785

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