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dc.contributor.authorShirazi, A. 
dc.contributor.authorHolt, H.
dc.contributor.authorArmellin, R.
dc.contributor.authorBaresi, N.
dc.date.accessioned2023-10-08T07:50:21Z
dc.date.available2023-10-08T07:50:21Z
dc.date.issued2023-04-30
dc.identifier.isbn978-3-031-24811-5
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1591
dc.description.abstractEnhancements in evolutionary optimization techniques are rapidly growing in many aspects of engineering, specifically in astrodynamics and space trajectory optimization and design. In this chapter, the problem of optimal design of space trajectories is tackled via an enhanced optimization algorithm within the framework of Estimation of Distribution Algorithms (EDAs), incorporated with Lyapunov and Q-law feedback control methods. First, both a simple Lyapunov function and a Q-law are formulated in Classical Orbital Elements (COEs) to provide a closed-loop low-thrust trajectory profile. The weighting coefficients of these controllers are approximated with various degrees of Hermite interpolation splines. Following this model, the unknown time series of weighting coefficients are converted to unknown interpolation points. Considering the interpolation points as the decision variables, a black-box optimization problem is formed with transfer time and fuel mass as the objective functions. An enhanced EDA is proposed and utilized to find the optimal variation of weighting coefficients for minimum-time and minimum-fuel transfer trajectories. The proposed approach is applied in some trajectory optimization problems of Earth-orbiting satellites. Results show the efficiency and the effectiveness of the proposed approach in finding optimal transfer trajectories. A comparison between the Q-law and simple Lyapunov controller is done to show the potential of the potential of the EEDA in enabling the simple Lyapunov controller to recover the finer nuances explicitly given within the analytical expressions in the Q-law.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectAerospace Engineeringen_US
dc.subjectSpacecraften_US
dc.subjectEvolutionary Algorithmen_US
dc.subjectEstimation of Distribution Algorithmsen_US
dc.subjectOptimizationen_US
dc.titleTime-Varying Lyapunov Control Laws with Enhanced Estimation of Distribution Algorithm for Low-Thrust Trajectory Designen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.identifier.doi10.1007/978-3-031-24812-2_14en_US
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-24812-2_14en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//SEV-2017-0718en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2022-2025en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleModeling and Optimization in Space Engineeringen_US
dc.volume.number200en_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España