TY - GEN
T1 - Aerodynamic optimal design of guided bullets based on improved orthogonal test
AU - Ma, Nuo
AU - Li, Moning
AU - Li, Xiaozhu
AU - Meng, Junhui
AU - Liu, Li
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/27
Y1 - 2020/11/27
N2 - With the development and miniaturization of guidance technology, guided bullets have revolutionaryly improved the accuracy and survivability of sniper. Different from the designing of traditional bullets that focus on minimizing drag, the guidance raises the requirement of high lift-drag ratio of guided bullets during maneuvering to ensure the efficiency of maneuver and the ability of storing energy. In this paper, based on the improved orthogonal test optimization, the boundary between each segment of the projectile is selected as the control factors, and lift-drag ratio under the maximum rudder deflection is set as the objective factor to optimize aerodynamic shape of the guided bullet. In terms of conclusion, the maximum lift-drag ratio is increased by about 80%, which shows that the optimization has significant effect. The proposed new method improves the searching ability while taking the processing capacity of the control factors and computational cost of orthogonal test into account. It has certain significance for the solution of low-dimensional unconstrained optimization problems and provides a reference for the design of guided bullets.
AB - With the development and miniaturization of guidance technology, guided bullets have revolutionaryly improved the accuracy and survivability of sniper. Different from the designing of traditional bullets that focus on minimizing drag, the guidance raises the requirement of high lift-drag ratio of guided bullets during maneuvering to ensure the efficiency of maneuver and the ability of storing energy. In this paper, based on the improved orthogonal test optimization, the boundary between each segment of the projectile is selected as the control factors, and lift-drag ratio under the maximum rudder deflection is set as the objective factor to optimize aerodynamic shape of the guided bullet. In terms of conclusion, the maximum lift-drag ratio is increased by about 80%, which shows that the optimization has significant effect. The proposed new method improves the searching ability while taking the processing capacity of the control factors and computational cost of orthogonal test into account. It has certain significance for the solution of low-dimensional unconstrained optimization problems and provides a reference for the design of guided bullets.
KW - Aerodynamic optimal design
KW - Guided bullet
KW - Improved orthogonal test optimization
KW - Optimization algorithm
UR - http://www.scopus.com/inward/record.url?scp=85098949431&partnerID=8YFLogxK
U2 - 10.1109/ICUS50048.2020.9274998
DO - 10.1109/ICUS50048.2020.9274998
M3 - Conference contribution
AN - SCOPUS:85098949431
T3 - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
SP - 320
EP - 324
BT - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Unmanned Systems, ICUS 2020
Y2 - 27 November 2020 through 28 November 2020
ER -