NURBS-Based Sequential Convex Programming for Onboard Trajectory Optimization

This article proposes an enhanced approach to sequential convex programming for optimizing onboard trajectories by incorporating nonuniform rational basis splines (NURBS) curves. The contributions of the proposed method are threefold. First, it effectively reduces the number of optimization variable...

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Vydané v:IEEE transactions on aerospace and electronic systems Ročník 60; číslo 4; s. 3807 - 3821
Hlavní autori: Zhao, Mengxin, Pan, Binfeng, Ran, Yunting, Huang, Longxin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
B spline functions
Constraints
Convex-hull property
Convexity
homotopy approach
nonuniform rational basis splines (NURBS) curves
Optimal control
Optimization
Programming
sequential convex programming (SCP)
Splines (mathematics)
Surface reconstruction
Surface topography
Trajectory optimization
Vectors
ISSN:0018-9251, 1557-9603
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Shrnutí:This article proposes an enhanced approach to sequential convex programming for optimizing onboard trajectories by incorporating nonuniform rational basis splines (NURBS) curves. The contributions of the proposed method are threefold. First, it effectively reduces the number of optimization variables by utilizing NURBS curves as representations for control variables. Second, the convex-hull property of NURBS curves enables the replacement of the control inequality constraints with those defined by NURBS control points, leading to a significant reduction in the overall number of constraints. Finally, the integration of the homotopy approach with NURBS curves offers increased flexibility in shaping the curves and facilitates the solution of optimization problems involving bang-bang optimal control. Numerical demonstrations are provided to illustrate the effectiveness and efficiency of the proposed approach for onboard applications.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2024.3368011