Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess
| Autor: | Annalisa Riccardi, Edmondo Minisci, Francesco Marchetti |
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| Rok vydání: | 2021 |
| Předmět: |
Mathematical optimization
Control and Optimization Mathematical model TL Computer science Mechanical Engineering Evolutionary algorithm Aerospace Engineering Trajectory optimization Optimal control Direct multiple shooting method Estimation of distribution algorithm Trajectory Orbit (dynamics) Electrical and Electronic Engineering Software Civil and Structural Engineering |
| Zdroj: | Optimization and Engineering. |
| ISSN: | 1573-2924 1389-4420 |
| DOI: | 10.1007/s11081-021-09698-w |
| Popis: | In this paper, the ascent trajectory optimization of a lifting body Single-Stage To Orbit (SSTO) reusable launch vehicle is investigated. The work is carried out using a Direct Multiple Shooting method to solve the Optimal Control problem. The crucial initialisation of the optimisation process is performed by using a combination of two evolutionary algorithms, namely a Multi-Objective Parzen-based Estimation of Distribution (MOPED) algorithm and a Multi-Population Adaptive Inflationary Differential Evolution Algorithm (MP-AIDEA). Multi-Objective Parzen-based Estimation of Distribution (MOPED) belongs to the class of Estimation of Distribution Algorithms (EDAs) and it is used in the first phase of the initial guess research to explore the search space, then Multi-Population Adaptive Inflationary Differential Evolution Algorithm (MP-AIDEA) is used to refine the obtained results, and better fulfill the imposed constraints. The initial guesses obtained with this evolutionary framework were tested on different multiple shooting configurations. The importance of the continuity properties of the employed mathematical models was also quantitatively addressed. |
| Databáze: | OpenAIRE |
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