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兵工学报 ›› 2024, Vol. 45 ›› Issue (5): 1460-1471.doi: 10.12382/bgxb.2022.1196

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曲线链式回转弹仓动力学模型不确定参数辨识

文浩, 侯保林*(), 林瑜斌, 金鑫   

  1. 南京理工大学 机械工程学院, 江苏 南京 210094
  • 收稿日期:2022-12-01 上线日期:2023-07-12
  • 通讯作者:
  • 基金资助:
    国家自然科学基金项目(52105022)

Dynamic Model Uncertain Parameter Identification for A Curved Chain Rotary Shell Magazine

WEN Hao, HOU Baolin*(), LIN Yubin, JIN Xin   

  1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China
  • Received:2022-12-01 Online:2023-07-12

摘要:

为了准确模拟曲线链式回转弹仓输送弹药过程中的非线性动力学特性,根据系统的拓扑结构和控制原理建立包含不确定参数的动力学模型。利用优化设计思想,基于系统测试数据建立不确定参数辨识模型。提出一种函数型时间序列相似度作为辨识准则,采用基于径向基函数的高维模型表示和径向基函数分别构建从机械系统和控制系统不确定参数到辨识准则的代理模型。将麻雀搜索算法嵌入岛屿模型进行多种群结构化,形成岛屿麻雀搜索算法,进行寻优求解。以工况1测试数据为基准,对机械系统和控制系统的不确定参数进行辨识。研究结果表明,辨识后的动力学模型对两种工况的输出结果与测试数据相似度较高,验证了建模的准确性和辨识的有效性,为动作可靠性分析和故障诊断研究提供了可靠的样本数据来源。

关键词: 曲线链式回转弹仓, 参数辨识, 函数型时间序列相似度, 岛屿麻雀搜索算法, 高维代理模型

Abstract:

To accurately simulate the nonlinear dynamics of a curved chain rotary shell magazine during the delivery of ammunition, a dynamic model containing uncertain parameters is established according to the system topology and control principle. An uncertain parameter identification model for the dynamic model is developed based on the system test data using the optimization design idea. A functional time series similarity is proposed as the identification criterion. The high-dimensional model representation based on the radial basis function and the radial basis function are used to construct the surrogate models from the uncertain parameters of the mechanical and control systems to the identification criterion, respectively. The sparrow search algorithm is embedded into an island model for multi-population structuring to form an island sparrow search algorithm for optimization. The uncertain parameters of the mechanical and control systems are identified successively by taking the test data of working condition 1 as the benchmark. The results show that the outputs of the identified dynamic model for the two operating conditions are similar to the test data, which verifies the accuracy of modelling and the validity of identification, and provides a reliable sample data source for action reliability analysis and fault diagnosis research.

Key words: curved chain rotary shell magazine, parameter identification, functional time series similarity, island sparrow search algorithm, high dimensional surrogate model

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