Multi-objective trajectory optimization of Space Maneuver Vehicle using adaptive differential evolution and modified game theory

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dc.contributor.authorChai, Runqi
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorChai, Senchun
dc.date.accessioned2017-04-04T10:43:57Z
dc.date.available2017-04-04T10:43:57Z
dc.date.issued2017-03-24
dc.description.abstractHighly constrained trajectory optimization for Space Manoeuvre Vehicles (SMV) is a challenging problem. In practice, this problem becomes more difficult when multiple mission requirements are taken into account. Because of the nonlinearity in the dynamic model and even the objectives, it is usually hard for designers to generate a compromised trajectory without violating strict path and box constraints. In this paper, a new multi-objective SMV optimal control model is formulated and parameterized using combined shooting-collocation technique. A modified game theory approach, coupled with an adaptive differential evolution algorithm, is designed in order to generate the pareto front of the multi-objective trajectory optimization problem. In addition, to improve the quality of obtained solutions, a control logic is embedded in the framework of the proposed approach. Several existing multi-objective evolutionary algorithms are studied and compared with the proposed method. Simulation results indicate that without driving the solution out of the feasible region, the proposed method can perform better in terms of convergence ability and convergence speed than its counterparts. Moreover, the quality of the pareto set generated using the proposed method is higher than other multi-objective evolutionary algorithms, which means the newly proposed algorithm is more attractive for solving multi-criteria SMV trajectory planning problem.en_UK
dc.identifier.citationChai R, Savvaris A, Tsourdos A, Chai S, Multi-objective trajectory optimization of Space Maneuver Vehicle using adaptive differential evolution and modified game theory, Acta Astronautica, Volume 136, July 2017, Pages 273 – 280.en_UK
dc.identifier.issn0094-5765
dc.identifier.urihttp://dx.doi.org/10.1016/j.actaastro.2017.02.023
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11703
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTrajectory optimizationen_UK
dc.subjectSpace Manoeuvre Vehiclesen_UK
dc.subjectModified game theoryen_UK
dc.subjectAddaptive differential evolutionen_UK
dc.subjectMulti-objective evolutionary algorithmsen_UK
dc.titleMulti-objective trajectory optimization of Space Maneuver Vehicle using adaptive differential evolution and modified game theoryen_UK
dc.typeArticleen_UK

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