TY - GEN
T1 - Adaptive weapon-target assignment for multi-target interception
AU - Chen, Ziyan
AU - Liang, Zixuan
AU - Dong, Xiwang
AU - Li, Qingdong
AU - Ren, Zhang
N1 - Publisher Copyright:
© 2019 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2019/7
Y1 - 2019/7
N2 - In this paper, an adaptive weapon-target assignment (WTA) model is proposed for multi-to-multi interception by taking the normal overload of missiles as the benefit factor and the uniform distribution of resources as the main constraint. Firstly, the total demand normal overload is considered as the basis of WTA, and an allocation strategy based on the attenuation model of target value for a variety of constraints to model the WTA problem is proposed. Secondly, in order to reduce the acceleration cost, an analytical expression of the whole-course overload is derived under the proportional navigation guidance, so that the overload of the whole combat process can be estimated at the initial moment according to the initial information of the missile and target. Then, based on the genetic algorithm, the WTA method is designed. Finally, the assignment method is verified in a multi-to-multi interception mission.
AB - In this paper, an adaptive weapon-target assignment (WTA) model is proposed for multi-to-multi interception by taking the normal overload of missiles as the benefit factor and the uniform distribution of resources as the main constraint. Firstly, the total demand normal overload is considered as the basis of WTA, and an allocation strategy based on the attenuation model of target value for a variety of constraints to model the WTA problem is proposed. Secondly, in order to reduce the acceleration cost, an analytical expression of the whole-course overload is derived under the proportional navigation guidance, so that the overload of the whole combat process can be estimated at the initial moment according to the initial information of the missile and target. Then, based on the genetic algorithm, the WTA method is designed. Finally, the assignment method is verified in a multi-to-multi interception mission.
KW - Genetic algorithm
KW - Interception
KW - Normal overload
KW - Uniform distribution
KW - Weapon-target assignment
UR - http://www.scopus.com/inward/record.url?scp=85074421442&partnerID=8YFLogxK
U2 - 10.23919/ChiCC.2019.8865884
DO - 10.23919/ChiCC.2019.8865884
M3 - Conference contribution
AN - SCOPUS:85074421442
T3 - Chinese Control Conference, CCC
SP - 4218
EP - 4223
BT - Proceedings of the 38th Chinese Control Conference, CCC 2019
A2 - Fu, Minyue
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 38th Chinese Control Conference, CCC 2019
Y2 - 27 July 2019 through 30 July 2019
ER -