Lunar Soft - Landing Trajectory of Mechanics Optimization Based on the Improved Ant Colony Algorithm

Mo Feng Qu

doi:10.4028/www.scientific.net/AMM.721.446

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 721Lunar Soft - Landing Trajectory of Mechanics...

Lunar Soft - Landing Trajectory of Mechanics Optimization Based on the Improved Ant Colony Algorithm

Abstract:

Based on research carried out for the most fuel-lunar soft landing trajectory optimization problem. First, by improving the function approximation method, the lunar soft landing trajectory optimization problem into a parameter optimization problem, and the optimization variables and state variables have a clear physical meaning. Then use the decimal ant colony algorithm adds local search strategy to study the optimization problem. Finally, the optimization algorithm to optimize term direction angle simulation and error analysis.

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Periodical:

Applied Mechanics and Materials (Volume 721)

Pages:

446-449

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.721.446

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Online since:

December 2014

Authors:

Mo Feng Qu*

Keywords:

Error Analysis, Improved Ant Colony Algorithm, Lunar Soft Landing Trajectory Optimization, Thrust Direction Angle

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* - Corresponding Author

References

[1] Jun Wang, Qing Xiao, Jun Zhang: Improved Ant Colony Algorithm for Continuous Function Constrained Optimization Problems, Vol. 43 (2010) No. 3, p.27.

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[2] Qiong Tang: Fast track to optimize lunar soft landing, Vol. 27 (2007) No. 4, p.04.

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[3] Haomin Liu, Junhua Feng, Yutao Cui, Zexu Zhang: Lunar soft landing guidance law design and error analysis, Vol. 21 (2009) No. 4, p.47.

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