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Acta Armamentarii ›› 2024, Vol. 45 ›› Issue (2): 564-573.doi: 10.12382/bgxb.2022.0651

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Operational Decision Analysis and Optimization Method of Submarine Integrated Defense against Torpedo in Uncertain Environment

YANG Jing1,2, LU Minghua2,*(), GUO Liqiang2, MA Jieqiong3, WU Jinping2, ZHANG Hui2   

  1. 1 College of System Engineering, National University of Defense and Technology, Changsha 410073, Hunan, China
    2 Navy Submarine College, Qingdao 266041, Shandong, China
    3 Unit 92020 of PLA, Qingdao 266001, Shandong, China
  • Received:2022-07-18 Online:2024-02-29
  • Contact: LU Minghua

Abstract:

There are three kinds of uncertain information, including unknown target, unknown target motion and unknown underwater environment, in submarine defense situation. A combined optimization framework based on uncertain information for making decisions of submarine defense against torpedoes is constructed. A random search optimization model based on Monte Carlo methods is designed, and then the particle swarm optimization (PSO) method based on discrete boundary contraction is used to calculate the local optimal decision instead of the best resolution. A tactical confrontation simulation model is established to select and optimize the submarine defense torpedo strategies. In details, for different torpedo alarm positions and action strategies, the two defense strategies, namely steering-diving and steering-bait under three types of uncertainty conditions, are comprehensively considered by taking “safety margin” as an evaluation standard. The selection boundaries of the two strategies and the decision-making suggestions under different combat situations are given, respectively. The experiment demonstrates that,the non-convergence of target solution is the most important factor affecting the defense action, and the decision-making accuracy of submarine steering angle based on PSO is ± 10 °/20 °; uder the same conditions, the acceleration ratio of the proposed framework can reach 92-156 compared with that of the traditional search method, and 10-16 compared with that of the parallel computing method. The proposed method could buy more time for decision making under the real-time requirements.

Key words: uncertain information, submarine defense against torpedoes, particle swarm optimization method, process simulation

CLC Number: