基于改进PO算法的某供弹机动力学模型参数辨识

Dynamic Model Parameter Identification for an Ammunition Supply Machine based on IPO

摘要

某供弹机是一复杂机电系统,其精准建模是开展可靠性分析和优化的关键。为解决某供弹机动力学模型中的参数辨识问题,提出一种基于改进鹦鹉算法(IPO)的供弹机动力学参数辨识方法。首先,建立某供弹机的动力学模型,采用库仑-黏滞摩擦模型描述模型中的摩擦特性;其次,为提高算法的收敛速度和寻优能力,通过自适应步长因子和柯西-高斯变异等策略对PO算法进行改进;最后,基于回转180°和初始弹位取弹等工况下的试验数据建立供弹机的参数辨识数学模型,将供弹机模型响应曲线与试验曲线的相似程度作为优化目标,确定基于改进PO算法的辨识流程,辨识模型中摩擦系数、减速器效率等参数,并将辨识后的参数应用于供弹机模型的其他工况。结果表明,采用改进PO算法能够准确有效地辨识出供弹机中的参数,辨识后的供弹机模型在其他工况下的输出数据与试验数据相关性系数均在0.9以上,验证了建模的准确性和辨识结果的有效性,为后续对供弹机进行可靠性分析和优化提供了理论依据。

Abstract

An ammunition supply machine (ASM) is a complex electromechanical system, and its accurate modeling is the key to conducting reliability analysis and optimization. In order to solve the problem of parameter identification in the dynamics model of the ASM, a dynamic parameter identification method based on the improved parrot optimization (IPO) algorithm was proposed. Firstly, the dynamic model for the ASM was developed, and the Coulomb-viscous friction model was used to describe the friction characteristics in the model. Secondly, to improve the convergence speed and optimization capability of the algorithm, the PO was developed by adaptive step size factors and Cauchy-Gaussian mutation. Finally, based on the experimental data under the conditions of 180° rotation and initial ammunition position, the mathematical model for parameter identification of the ASM was developed. The similarity between the model response curve and the experimental curve of the ASM was taken as the optimization objective. The identification process based on the IPO was determined. The parameters, such as the friction coefficient and reducer efficiency, were identified. The identified parameters were applied to other operating conditions. The results show that the IPO can accurately and effectively identify the parameters in the ASM. The correlation coefficients between the output data of the identified model and the experimental data under other working conditions are all above 0.9, which verifies the accuracy of the model and the effectiveness of the identification results, and provides a theoretical basis for the subsequent reliability analysis and optimization of the ASM.

关键词

供弹机 / 参数辨识 / 改进鹦鹉优化算法 / 摩擦模型

Key words

ammunition supply machine / parameter identification / improved parrot optimization / friction model

参考文献

[1] 赵抢抢, 侯保林. 火炮弹药协调器区间不确定参数辨识[J]. 兵工学报, 2017, 38(1): 35-42.

[2] ZHAO Qiangqiang, HOU Baolin. Identification of interval uncertainty parameters of a howitzer shell transfer arm[J]. Acta Armamentarii, 2017, 38(1): 35-42. (in Chinese)

[3] 李士勇, 李研, 林永茂. 智能优化算法与涌现计算[M]. 北京: 清华大学出版社, 2022.

[4] LI Shiyong, LI Yan, LIN Yongmao. Intelligent optimization algorithms and emergent computation[M]. Beijing: Tsinghua University Press, 2022. (in Chinese)

[5] LIN T, QIAN L, YIN Q, et al. Dynamic modeling and parameter identification of a gun saddle ring[J]. Defence Technology, 2020, 16(2): 325-333.

[6] SUN J, HAN X, LI T, et al. Dynamic parameter identification of a pointing mechanism considering the joint clearance[J]. Robotics, 2021, 10(1): 36.

[7] HOBUSCH S, NIKELAY I, NOWAKOWSKI C, et al. Parameter identification of multibody vehicle models using neural networks[J]. Multibody System Dynamics, 2024, 61(3): 361-380.

[8] 鲍丹, 侯保林. 基于深度学习的单自由度机械臂定位可靠性估计[J]. 振动与冲击, 2021, 40(15): 246-252, 283.

[9] BAO Dan, HOU Baolin. Positioning reliability estimation of SDOF manipulator based on deep learning[J]. Journal of Vibration and Shock, 2021, 40(15): 246-252, 283. (in Chinese)

[10] 林通, 钱林方, 付佳维, 等. 火炮高平机参数辨识与灵敏度[J]. 兵工学报, 2020, 41(9): 1736-1744.

[11] LIN Tong, QIAN Linfang, FU Jiawei, et al. Parameter identification and sensitivity analysis of gun elevating equilibrators[J]. Acta Armamentarii, 2020, 41(9): 1736-1744. (in Chinese)

[12] 文浩, 侯保林, 林瑜斌, 等. 曲线链式回转弹仓动力学模型不确定参数辨识[J]. 兵工学报, 2024, 45(5): 1460-1471.

[13] WEN Hao, HOU Baolin, LIN Yubin, et al. Dynamic model uncertain parameter identification for a curved chain rotary shell magazine[J]. Acta Armamentarii, 2024, 45(5): 1460-1471. (in Chinese)

[14] 李徽, 张鑫, 贺世豪. 基于试验加速度的某自行高炮动力学模型参数修正研究[J]. 火炮发射与控制学报, 2023, 44(1): 56-64.

[15] LI Hui, ZHANG Xin, HE Shihao. Parameter modification of a dynamic model of a self-propelled anti-aircraft gun based on experimental acceleration[J]. Journal of Gun Launch & Control, 2023, 44(1): 56-64. (in Chinese)

[16] WEN H, HOU B. Contact parameter identification of a cannon cradle and its bushing based on FDA and ELM[J]. Vibroengineering Procedia, 2018, 20(16): 202-207.

[17] 石志杰, 陈龙淼, 羊柳, 等. 某火炮药协调器多学科耦合模型参数辨识与可靠性分析[J]. 火炮发射与控制学报, 2023, 44(4): 20-26, 50.

[18] SHI Zhijie, CHEN Longmiao, YANG Liu, et al. Parameters identification and reliability analysis of a multidisciplinary coupling model for an ammunition coordinator[J]. Journal of Gun Launch & Control, 2023, 44(4): 20-26, 50. (in Chinese)

[19] LIAN J, HUI G, MA L, et al. Parrot optimizer: algorithm and applications to medical problems[J]. Computers in Biology and Medicine, 2024, 172: 108064.