Regarding the flight trajectory of a suborbital spaceplane, considering the situations such as abort flight, it is difficult to set the reference trajectory in advance. Therefore, a guidance algorithm is required for the suborbital spaceplane to generate the optimal trajectory flexibly during a return flight. Evolutionary algorithms that can search for solutions globally are effective methods for this purpose. Based on this idea, a return trajectory generation method using a dynamic distributed genetic algorithm (DynDGA) has been proposed. In this study, three improvements to the previously proposed DynDGA-based method are presented. First, the continuity of the angle-of-attack and bank-angle commands before and after the optimal trajectory update was ensured. Second, the angle-of-attack command satisfied the trim condition. Third, fitness was calculated based on hierarchical fuzzy logic. The effectiveness of the improved method was confirmed by trajectory generation simulation of a return flight of a suborbital spaceplane.


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    Titel :

    Re-entry and Gliding Guidance Trajectory Optimization of Suborbital Spaceplane Using Dynamically Distributed Genetic Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Lee, Sangchul (Herausgeber:in) / Han, Cheolheui (Herausgeber:in) / Choi, Jeong-Yeol (Herausgeber:in) / Kim, Seungkeun (Herausgeber:in) / Kim, Jeong Ho (Herausgeber:in) / Koshida, Yasuhiro (Autor:in) / Murakami, Masaaki (Autor:in) / Fujikawa, Takahiro (Autor:in) / Yonemoto, Koichi (Autor:in)

    Kongress:

    Asia-Pacific International Symposium on Aerospace Technology ; 2021 ; Korea (Republic of) November 15, 2021 - November 17, 2021



    Erscheinungsdatum :

    2022-09-30


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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