Analysis of optimization strategies for solving space manoeuvre vehicle trajectory optimization problem

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dc.contributor.authorChai, Runqi
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2018-02-12T18:24:16Z
dc.date.available2018-02-12T18:24:16Z
dc.date.issued2017-12-15
dc.description.abstractIn this paper, two types of optimization strategies are applied to solve the Space Manoeuvre Vehicle (SMV) trajectory optimization problem. The SMV dynamic model is constructed and discretized applying direct multiple shooting method. To solve the resulting Nonlinear Programming (NLP) problem, gradient-based and derivative free optimization techniques are used to calculate the optimal time history with respect to the states and controls. Simulation results indicate that the proposed strategies are effective and can provide feasible solutions for solving the constrained SMV trajectory design problem.en_UK
dc.identifier.citationRunqi Chai, Al Savvaris and Antonios Tsourdos. Analysis of optimization strategies for solving space manoeuvre vehicle trajectory optimization problem, Advances in Aerospace Guidance, Navigation and Control: Proceedings of 4th CEAS Specialist Conference on Guidance, Navigation and Control, 25-27 April 2017, Warsaw, Poland, pp. 515-527en_UK
dc.identifier.isbn978-3-319-65282-5
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-65283-2_28
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12983
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleAnalysis of optimization strategies for solving space manoeuvre vehicle trajectory optimization problemen_UK
dc.typeConference paperen_UK

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