Long-range anti-tank missiles are promising weapons against armored targets and are widely used in modern wars. To further improve the effectiveness of the anti-tank missile, a multi-objective multidisciplinary design optimization (MDO) framework for a precision attack munition (PAM) missile is carried out in this paper. Considering the characteristics of PAM missiles, several multidisciplinary analysis models are constructed including aerodynamics, mass, motor, trajectory, and warhead disciplines. The MDO problem is then formulated to maximize the effectiveness indexes (i.e., terminal angle of speed, armor penetration depth and terminal speed) and minimize the expenditure indexes (i.e., take-off weight) simultaneously. Moreover, a radial basis function assisted multi-objective differential evolution method is developed and utilized to solve the studied PAM missile MDO problem efficiently and effectively. After optimization, 49 feasible Pareto solutions are obtained. Compared with the initial solution, the optimized one can decrease the take-off weight by 1.72% and increase the armor penetration depth by 39.43% simultaneously, which demonstrates the effectiveness and practicality of the PAM multidisciplinary models and the corresponding multi-objective optimization framework in this paper.


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    Titel :

    Multi-objective Multidisciplinary Design Optimization for Precision Attack Munition Missile


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Qu, Yi (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Fu, Wenxing (Herausgeber:in) / Xuan, Chen (Autor:in) / Teng, Long (Autor:in) / Rong, Chen (Autor:in) / Renhe, Shi (Autor:in) / Nianhui, Ye (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2023 ; Nanjing, China September 09, 2023 - September 11, 2023



    Erscheinungsdatum :

    25.04.2024


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch