火炮装备的敏捷优化设计方法研究  

Research on agile optimization design method for artillery equipment

作　　者：单春来 任灿 高华 杨华实 古斌 刘朋科[1,2,3] SHAN Chunlai;REN Can;GAO Hua;YANG Huashi;GU Bin;LIU Pengke(Simulation and Testing Technology Department,Northwest Institute of Mechanical and Electrical Engineering,Xianyang 712099,China;School of Materials and Chemical Engineering,Xi’an University of Technology,Xi’an 710021,China;School of Mechanics,Civil Engineering and Architecture,Northwestern Polytechnical University,Xi’an 710129,China)

机构地区：[1]西北机电工程研究所仿真与测试技术室,陕西咸阳712099 [2]西安工业大学材料与化工学院,西安710021 [3]西北工业大学力学与土木建筑学院,西安710129

出　　处：《兵器装备工程学报》2024年第S2期1-8,共8页Journal of Ordnance Equipment Engineering

基　　金：某国防基础科研项目(JCKY2021208B004);秦创原引用高层次创新创业人才项目(QCYRCXM-2022-205)。

摘　　要：随着现代战争对装备性能要求的日益提高和研制周期的不断缩短,迅速制定性能卓越的总体设计方案已成为火炮研制领域的一大挑战。本文基于RecurDyn求解器,开发了一款火炮总体敏捷设计工具IAOD。该工具通过参数化方法构建火炮动力学仿真模型,并融合机器学习、参数辨识、代理模型技术与多级优化算法,同时对多对象进行多目标协同优化,提升了大口径自行火炮的仿真及设计效率,可满足现代战争对火炮装备远程化、轻量化、智能化的性能需求,实现火炮设计方案的快速评估与综合优化。With the escalating demand for equipment performance and the ever-shortening development cycles in modern warfare,devising a high-performance overall design plan swiftly has emerged as a significant challenge in the field of artillery development.To tackle this challenge,this paper introduces an artillery overall agile design tool,IAOD,leveraging the RecurDyn solver.This tool employs parametric methods to construct a dynamic simulation model of artillery,integrating machine learning,parameter identification,surrogate model technology,and multi-level optimization algorithms.It enables simultaneous multi-objective collaborative optimization across multiple objects,thereby enhancing the simulation and design efficiency of large-caliber self-propelled artillery.IAOD meets the performance demands of modern warfare for remote,lightweight,and intelligent artillery equipment,facilitating rapid evaluation and comprehensive optimization of artillery design schemes.

关 键 词：火炮敏捷设计 参数化建模 机器学习 参数辨识 代理模型 多级优化算法 

分 类 号：TJ818[兵器科学与技术—武器系统与运用工程]