Journal of System Simulation ›› 2026, Vol. 38 ›› Issue (4): 1106-1118.doi: 10.16182/j.issn1004731x.joss.25-0270

• Papers • Previous Articles     Next Articles

Dynamic Model-driven Verification Framework for Modular Aerial Bomb Systems

Li Wenlong1, Sang Shuhan2, Liu Yusheng3, He Haiyan4, Liang Zan5, Yuan Wenqiang2, Niu Biao2, Luo Weifeng6   

  1. 1.School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    2.School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China
    3.State Key Laboratory of Computer-Aided Design and Graphics, Zhejiang University, Hangzhou 310058, China
    4.Shanghai Satellite Engineering Institute, Shanghai 201109, China
    5.Beijing Institute of Space Systems Engineering, Beijing 100076, China
    6.Hunan Yunjian Group Co. , Ltd. , Changsha 410199, China
  • Received:2025-04-08 Revised:2025-06-06 Online:2026-04-20 Published:2026-04-22
  • Contact: Yuan Wenqiang

Abstract:

To address the problems of high verification costs, difficulty in covering dynamic behaviors, and lack of quantitative closed loops in the design stage of modular complex equipment, a dynamic model-driven modular system verification framework was proposed. Based on model-based systems engineering (MBSE) modeling, a structural coupling quantification model was constructed using the number of interfaces, signal interaction frequency, and dependency intensity. Dynamic tests were conducted in high-fidelity virtual simulation to collect data; performance rating for indicators such as accuracy, response, and stability, as well as system's comprehensive rating, were obtained, and the rating feedback was used for iterative optimization. In the verification of the modular aerial bomb system, the mean system score in 100 sets of simulation tests is 68.858, with a standard deviation of 4.336, and the confidence interval indicates stable output. One-way analysis of variance shows that the differences between groups with different interface complexities are significant. The framework can achieve integrated quantitative verification of structure and behavior, supporting scheme comparison and selection and rapid iteration.

Key words: model-based systems engineering (MBSE), model drive, modularity, dynamic simulation, system verification

CLC Number: