TY - GEN
T1 - Multi-objective Multidisciplinary Design Optimization for Precision Attack Munition Missile
AU - Xuan, Chen
AU - Teng, Long
AU - Rong, Chen
AU - Renhe, Shi
AU - Nianhui, Ye
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - multi-objective optimization
KW - multidisciplinary analysis model
KW - multidisciplinary design optimization
KW - precision attack munition missile
UR - http://www.scopus.com/inward/record.url?scp=85192554620&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-1107-9_23
DO - 10.1007/978-981-97-1107-9_23
M3 - Conference contribution
AN - SCOPUS:85192554620
SN - 9789819711062
T3 - Lecture Notes in Electrical Engineering
SP - 249
EP - 261
BT - Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) - Volume I
A2 - Qu, Yi
A2 - Gu, Mancang
A2 - Niu, Yifeng
A2 - Fu, Wenxing
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023
Y2 - 9 September 2023 through 11 September 2023
ER -