Fuel-Optimal Low-Thrust Trajectory Optimization Using Indirect Method and Successive Convex Programming

Although the robustness of indirect methods is enhanced by the homotopic approach and switching detection technique when applied to fuel-optimal low-thrust trajectory optimization, the bottleneck in adjoint initialization still needs further investigation. This paper overcomes this bottleneck by the...

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Published in:IEEE transactions on aerospace and electronic systems 2018-08, Vol.54 (4), p.2053-2066
Main Authors: Tang, Gao, Jiang, Fanghua, Li, Junfeng
Format: Article
Language:English
Subjects:
Convexity
Fuels
Indirect method
Lagrange multiplier
lossless convexification
low thrust
Optimal control
Performance analysis
pseudospectral method
Robustness
successive convex programming (SCP)
Switches
Thrust
Trajectory optimization
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Jiang, Fanghua
Li, Junfeng
description Although the robustness of indirect methods is enhanced by the homotopic approach and switching detection technique when applied to fuel-optimal low-thrust trajectory optimization, the bottleneck in adjoint initialization still needs further investigation. This paper overcomes this bottleneck by the adjoint mapping between the Lagrange multipliers of direct methods to the adjoint variables. The nonconvex optimization problem deduced from direct methods is converted into a convex one by lossless convexification and successive convex programming. By combining these techniques, a framework is built to effectively solve the fuel-optimal low-thrust trajectory optimization problem.
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source IEEE Electronic Library (IEL) Journals
subjects Convexity
Fuels
Indirect method
Lagrange multiplier
lossless convexification
low thrust
Optimal control
Performance analysis
pseudospectral method
Robustness
successive convex programming (SCP)
Switches
Thrust
Trajectory optimization
title Fuel-Optimal Low-Thrust Trajectory Optimization Using Indirect Method and Successive Convex Programming
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