Real-Time Trajectory Planning for Hypersonic Entry Using Adaptive Non-Uniform Discretization and Convex Optimization

This paper introduces an improved sequential convex programming algorithm using adaptive non-uniform discretization for the hypersonic entry problem. In order to ensure real-time performance, an inverse-free precise discretization based on first-order hold discretization is adopted to obtain a high-...

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Published in:Mathematics (Basel) Vol. 11; no. 12; p. 2754
Main Authors: Ma, Jiarui, Chen, Hongbo, Wang, Jinbo, Zhang, Qiliang
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-06-2023
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Abstract This paper introduces an improved sequential convex programming algorithm using adaptive non-uniform discretization for the hypersonic entry problem. In order to ensure real-time performance, an inverse-free precise discretization based on first-order hold discretization is adopted to obtain a high-accuracy solution with fewer temporal nodes, which would lead to constraint violation between the temporal nodes due to the sparse time grid. To deal with this limitation, an adaptive non-uniform discretization is developed, which provides a search direction for purposeful clustering of discrete points by adding penalty terms in the problem construction process. Numerical results show that the proposed method has fast convergence with high accuracy while all the path constraints are satisfied over the time horizon, thus giving potential to real-time trajectory planning.
AbstractList This paper introduces an improved sequential convex programming algorithm using adaptive non-uniform discretization for the hypersonic entry problem. In order to ensure real-time performance, an inverse-free precise discretization based on first-order hold discretization is adopted to obtain a high-accuracy solution with fewer temporal nodes, which would lead to constraint violation between the temporal nodes due to the sparse time grid. To deal with this limitation, an adaptive non-uniform discretization is developed, which provides a search direction for purposeful clustering of discrete points by adding penalty terms in the problem construction process. Numerical results show that the proposed method has fast convergence with high accuracy while all the path constraints are satisfied over the time horizon, thus giving potential to real-time trajectory planning.
Audience Academic
Author Ma, Jiarui
Zhang, Qiliang
Wang, Jinbo
Chen, Hongbo
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Snippet This paper introduces an improved sequential convex programming algorithm using adaptive non-uniform discretization for the hypersonic entry problem. In order...
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SubjectTerms Accuracy
Adaptive algorithms
adaptive non-uniform discretization
Algorithms
Clustering
Computational geometry
Convex analysis
Convexity
Discretization
feasibility guarantee
Guarantees
hypersonic entry
Mathematical programming
Mathematics
Methods
Nodes
Optimization
Real time
real-time trajectory planning
sequential convex programming
Trajectory planning
Variables
Title Real-Time Trajectory Planning for Hypersonic Entry Using Adaptive Non-Uniform Discretization and Convex Optimization
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