Systems Engineering and Electronics ›› 2017, Vol. 39 ›› Issue (12): 2772-2781.doi: 10.3969/j.issn.1001-506X.2017.12.21

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Intercepting performance analysis of a neotype active protection system based on particle swarm algorithm#br#

LEI Xiaoyun, ZHANG Zhian   

  1. Key Laboratory of Intelligent Ammunition Technology, School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • Online:2017-11-28 Published:2017-12-07

Abstract:

In allusion to the point to point method of intercepting the incoming target, the performance is poor and highly dependent on the accuracy of the detection system and the calculation accuracy of the interception algorithm. A neotype active protection system is proposed to intercept the incoming target, namely, a netlike projectile is designed and launched by pulling bodies whose attitude is adjustable to form a facetopoint netlike interceptor. Based on the analysis of the launching type of netlike projectile and the target flight trajectory, mathematical models of pulling body and incoming target are established. The motion of the intercepting net is resolved into the motion of the pulling bodies. The intercept zone formed by the net in space can be described by the position of pulling bodies, thus the complexity of attitude calculation is reduced, and meanwhile the motion of the incoming target with high velocity to rectilinear motion is simplified. The particle swarm algorithm enhanced by genetic algorithm is applied to optimize the multiparameter problem of the system’s fire control, and the Monte Carlo method is utilized to analyze the design parameters. The analysis will provide technical support for the optimization design of this kind of neotype active protection system.

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