Stochastic spacecraft trajectory optimization with the consideration of chance constraints

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dc.contributor.authorChai, Runqi
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorChai, Senchun
dc.contributor.authorXia, Yuanqing
dc.date.accessioned2020-03-11T10:29:57Z
dc.date.available2020-03-11T10:29:57Z
dc.date.issued2019-04-18
dc.description.abstractThis brief investigates a computational framework based on optimal control for addressing the problem of stochastic trajectory optimization with the consideration of chance constraints. This design employs a discretization technique to parameterize uncertain variables and create the trajectory ensemble. Subsequently, the resulting discretized version of the problem is solved by applying standard optimal control solvers. In order to provide reliable gradient information to the optimization algorithm, a smooth and differentiable chance-constraint approximation method is proposed to replace the original probability constraints. The established methodology is implemented to explore the optimal trajectories for a spacecraft entry flight planning scenario with noise-perturbed dynamics and probabilistic constraints. Simulation results and comparative studies demonstrate that the present chance-constraint handling strategy can outperform other existing approaches analyzed in this brief, and this computational framework can produce reliable and less conservative solutions for the chance-constrained stochastic spacecraft trajectory planning problem.en_UK
dc.identifier.citationChai R, Savvaris A, Tsourdos A, et al., (2020) Stochastic spacecraft trajectory optimization with the consideration of chance constraints. IEEE Transactions on Control Systems Technology, Volume 28, Issue 4, July 2020, pp. 1550-1559en_UK
dc.identifier.issn1063-6536
dc.identifier.urihttps://doi.org/10.1109/TCST.2019.2908938
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15269
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectChance-constraint handling strategyen_UK
dc.subjectoptimal controlen_UK
dc.subjectprobability constraintsen_UK
dc.subjectspacecraft trajectory planningen_UK
dc.subjectstochastic trajectory optimizationen_UK
dc.titleStochastic spacecraft trajectory optimization with the consideration of chance constraintsen_UK
dc.typeArticleen_UK

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