Characterization and design of out-of-ecliptic trajectories using deterministic crowding genetic algorithms |
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| Affiliation: | 1. Graduate Program in Mechanical Engineering, Pontifical Catholic University of Paraná, Rua Imaculada Conceição, 1155, CEP: 80.215-901 Curitiba, PR, Brazil;2. Graduate Program in Numerical Methods in Engineering, Federal University of Paraná, Centro Politécnico, Bloco Lame/Cesec Caixa Posta 19011, CEP: 81531-990 Curitiba, PR, Brazil;3. Graduate Program in Civil Engineering, Federal Technological University of Paraná, Rua Dep. Heitor Alencar Furtado, 4900, CEP: 81.280-340 Curitiba, PR, Brazil;1. Research Center of Satellite Technology, Harbin Institute of Technology, 150001, Harbin, China;2. Faculty of Aerospace Engineering, Technion–Israel Institute of Technology, 32000, Haifa, Israel;1. Department of Materials Science and Engineering, College of Eng., University of Diyala, Diyala, Iraq;2. Department of Materials Science and Engineering, Sharif University of Technology, Tehran, Iran;3. Iranian National Center for Laser Science and Technology, Tehran, Iran;4. Institute of Laser for Postgraduate Studies, University of Baghdad, Baghdad, Iraq;5. Department of Materials Science and Engineering, University of Kufa, Baghdad, Iraq;6. Ministry of Oil, Midland Oil Company, Baghdad, Iraq;1. Faculty of Aerospace Engineering, Technion, Haifa 3200003, Israel;2. US Naval Observatory, Washington, DC 20392 USA |
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| Abstract: | This paper investigates the application of Deterministic Crowding Genetic Algorithms to the characterization and design of special trajectories in the spatial circular restricted three-body problem with the Sun and the Earth as the primary gravitational bodies. These trajectories are characterized by large displacements normal to the Sun–Earth ecliptic plane. This attribute renders them particularly suitable for space-borne infrared observatories, because the normal component of motion results in a significantly reduced noise from the interplanetary (zodiacal) dust and a concomitant reduction in the necessary size of the optical collecting area. The characterization process yields three new types of trajectories with large normal displacement. By using the results of the characterization process, we continue with genetic algorithms-based trajectory design, which yields promising results in terms of reduction of the zodiacal dust noise. |
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