Survey of direct transcription for low-thrust space trajectory optimization with applications

DOI10.1155/2014/851720zbMath1474.49081OpenAlexW2008645856WikidataQ59042040 ScholiaQ59042040MaRDI QIDQ1725130

Xianqiang Yang

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/851720

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Optimal feedback synthesis (49N35) Applications of optimal control and differential games (49N90)

Related Items (4)

Physics-based control education: energy, dissipation, and structure assignments ⋮ Transfers from distant retrograde orbits to low lunar orbits ⋮ A high-precision single shooting method for solving hypersensitive optimal control problems ⋮ Elliptical shape-based model for multi-revolution planeto-centric mission scenarios

Uses Software

• Ipopt
• GPOPS
• SOCS
• OTIS
• Optimization Toolbox
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Cites Work

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• The control parameterization method for nonlinear optimal control: a survey
• Efficient invariant-manifold, low-thrust planar trajectories to the Moon
• Gravity assist space pruning based on differential algebra
• Radially accelerated optimal feedback orbits in central gravity field with linear drag
• Control parametrization: a unified approach to optimal control problems with general constraints
• Control parameterization for optimal control problems with continuous inequality constraints: New convergence results
• Algorithm 902
• Survey of Numerical Methods for Trajectory Optimization
• Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
• Direct trajectory optimization using nonlinear programming and collocation
• Discrete approximations to optimal trajectories using direct transcription and nonlinear programming
• The pseudospectral Legendre method for discretizing optimal control problems
• Direct optimization using collocation based on high-order Gauss-Lobatto quadrature rules
• Practical Direct Collocation Methods for Computational Optimal Control

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