Fuzzy physical programming for Space Manoeuvre Vehicles trajectory optimization based on hp-adaptive pseudospectral method

被引:35
|
作者
Chai, Runqi [1 ]
Savvaris, Al [1 ]
Tsourdos, Antonios [1 ]
机构
[1] Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England
关键词
Space Manoeuvre Vehicles; Fuzzy physical programming; Hp-adaptive pseudospectral; Nonlinear programming; Multi-objective;
D O I
10.1016/j.actaastro.2016.02.020
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, a fuzzy physical programming (FPP) method has been introduced for solving multi-objective Space Manoeuvre Vehicles (SMV) skip trajectory optimization problem based on hp-adaptive pseudospectral methods. The dynamic model of SMV is elaborated and then, by employing hp-adaptive pseudospectral methods, the problem has been transformed to nonlinear programming (NLP) problem. According to the mission requirements, the solutions were calculated for each single-objective scenario. To get a compromised solution for each target, the fuzzy physical programming (FPP) model is proposed. The preference function is established with considering the fuzzy factor of the system such that a proper compromised trajectory can be acquired. In addition, the NSGA-II is tested to obtain the Pareto-optimal solution set and verify the Pareto optimality of the FPP solution. Simulation results indicate that the proposed method is effective and feasible in terms of dealing with the multi-objective skip trajectory optimization for the SMV. (C) 2016 IAA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:62 / 70
页数:9
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