文章基本信息

标题：Reentry Trajectory Optimization using Gradient Free Algorithms
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作者：G. Naresh Kumar ; Md Shafeeq Ahmed ; A.K. Sarkar 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：1
页码：650-655
DOI：10.1016/j.ifacol.2018.05.109
语种：English
出版社：Elsevier
摘要：AbstractIn this work, a study on atmospheric reentry trajectory optimization using gradient free optimization techniques is presented. Genetic Algorithm (GA), Pattern Search (PS) and Simulated Annealing (SA) approaches are explored for the considered nonlinear constrained trajectory optimization problem. Aerodynamic performance indicator, (L/D), is used as a control variable to minimize the objective function subject to various terminal and in-flight path constraints. Results and findings on the performance comparison of the considered methods are discussed.
关键词：KeywordsGenetic algorithmPattern searchSimulated annealingTrajectory optimizationReentry trajectory