Trajectory optimization of space maneuver vehicle using a hybrid optimal control solver

Date

2017-12-12

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Volume Title

Publisher

IEEE

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Article

ISSN

2168-2267

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Citation

Chai R, Savvaris A, Tsourdos A, Chai S, Xia Y, Trajectory optimization of space maneuver vehicle using a hybrid optimal control solver, IEEE Transactions on Cybernetics, Volume 49, Issue 2, February 2019, pp. 467-480

Abstract

In this paper, a constrained space maneuver vehicles trajectory optimization problem is formulated and solved using a new three-layer-hybrid optimal control solver. To decrease the sensitivity of the initial guess and enhance the stability of the algorithm, an initial guess generator based on a specific stochastic algorithm is applied. In addition, an improved gradient-based algorithm is used as the inner solver, which can offer the user more flexibility to control the optimization process. Furthermore, in order to analyze the quality of the solution, the optimality verification conditions are derived. Numerical simulations were carried out by using the proposed hybrid solver and the results indicate that the proposed strategy can have better performance in terms of convergence speed and convergence ability when compared with other typical optimal control solvers. A Monte-Carlo simulation was performed and the results show a robust performance of the proposed algorithm in dispersed conditions.

Description

Software Description

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Github

Keywords

Improved gradient-based algorithm, Initial guess, Optimal control, Optimality verification, Space maneuver vehicles (SMVs), Trajectory optimization, Space vehicles, Atmospheric modeling, Mathematical model, Aerodynamics

DOI

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Attribution-NonCommercial 4.0 International

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