基于哈里斯鹰优化算法的引信装定系统参数优化方法

doi:10.12382/bgxb.2023.0429

摘要/Abstract

摘要：

为了满足坦克炮弹药作战实时性的需求,开展引信快速准确接收武器平台传输的敌方距离、方位等信息的研究,对提高作战毁伤效能十分重要。针对引信在武器平台实际环境约束下能量和信息无法快速可靠接收的问题,建立引信共击发通道装定系统能量信息同步传输的数学模型,形成目标函数为通过优化系统设计参数使装定时间最小、约束条件为平台恶劣信道环境下能量信息可靠接收的优化模型,采用哈里斯鹰优化(Harris Hawk Optimization,HHO)算法求解装定系统设计参数的最优值。仿真结果表明,基于HHO算法的系统参数优化方法可以得到最优的系统设计参数,与参数未优化的系统对比,不同信道参数下,能量信息同步传输的时间平均减少了26.4%,信息的可靠接收比平均提高了40.4%,特别是在信道电容大于5nF的恶劣信道环境下仍能保证信息可靠接收,能量信息接收的快速性和可靠性都大幅提高,作战效能得到优化,通过实验室实验验证该方法的有效性。

关键词: 坦克炮弹药引信, 能量信息同步传输, 平台恶劣信道环境, 最小装定时间, 系统参数优化

Abstract:

In order to meet the real-time requirements of tank gun ammunition in combat, the fuze must quickly and accurately receive the enemy's distance, azimuth and other information transmitted by the weapon platform, which is very important to improve the effectiveness of combat damage. In response to the challenges faced by fuze in receiving energy and information rapidly and reliably under the constraints of actual weapon platform environment, a mathematical model for the synchronous transmission of energy information in a fuze sharing firing channel setting system is established. This model is characterized by an objective function for minimizing the setting time through the optimization of system design parameters. Additionally, it incorporates the constraints to ensure the reliable reception of energy information even in harsh platform channel conditions, resulting in an optimization model for the system design parameters. The Harris hawk optimization (HHO) algorithm is used to solve the optimal value of the system parameters. The simulated results show that parameter optimization method based on HHO algorithm can be used to obtain the optimal system design parameters. Compared with the system with unoptimized parameters, the time for synchronous transmission of energy information is reduced by 26.4% and the reliable reception ratio of information is increased by 40.4% on average under different channel parameters. Especially in the harsh channel environment where the channel capacitance is greater than 5nF, it can still ensure reliable information reception, the speed and reliability of energy information reception are greatly improved, and the combat effectiveness is optimized. The effectiveness of this method has been verified through laboratory experiments.

Key words: tank gun ammunition fuze, synchronous transmission of energy and information, harsh platform channel condition, minimum setting time, system parameter optimization

中图分类号:

TJ430.1

原红伟, 李豪杰, 戴可人, 陈荷娟, 张合. 基于哈里斯鹰优化算法的引信装定系统参数优化方法[J]. 兵工学报, 2024, 45(8): 2594-2606.

YUAN Hongwei, LI Haojie, DAI Keren, CHEN Hejuan, ZHANG He. Parameter Optimization Method of Fuzd Setting System Based on Harris Hawks Optimization Algorithm[J]. Acta Armamentarii, 2024, 45(8): 2594-2606.

图/表 22

图1 SWIPT接收机架构设计

Fig.1 SWIPT receiver architecture design

图2 共用击发通道的弹药装定系统图

Fig.2 Ammunition setting system with sharing firing channel

图3 TTS-RPS机制装定系统工作时序图

Fig.3 Timing diagram of setting system based on TTS-RPS mechanism

图4 装定系统电路模型

Fig.4 Circuit model of setting system

图5 最大功率充电模式与恒压充电模式转换

Fig.5 Conversion of maximum power charging mode and constant voltage charging mode

图6 发送端信息加载方式示意图

Fig.6 Schematic diagram of transmitter information loading

图7 接收端信息波形示意图

Fig.7 Schematic diagram of receiver information waveform

表1 系统参数设置表

Table 1 System parameter setting table

参数	数值
R₂/Ω	6300
R₁/Ω	20
C₁/nF	2
C₂/μF	200
U_h/V	12
i_u/mA	40
i_l/mA	0.5
i'_l/mA	4
f_s/GHz	10
t_e/ms	100
t_b/ms	25
T_s/μs	200
N_d	100
α	0.3

图8 电路、信息参数对能量和信息接收的影响

Fig.8 The influences of circuit and information parameters on energy and information reception

图9 ts(R2, Ts)计算流程

Fig.9 ts(R2, Ts) calculation flow chart

图10 可行域示意图

Fig.10 Feasible region diagram

表2 tset计算仿真参数设置

Table 2 Parameter setting table for tset calculation simulation

参数	值
$R 2 l$ /Ω	300
$R 2 u$ /Ω	30000
N_s	30
f_s/MHz	10
α	0.3
γ	0.6
C₁/nF	2
R₄/kΩ	100
R₁/Ω	20
$t s u$ /ms	100
N_d	100

表2 tset计算仿真参数设置

Table 2 Parameter setting table for tset calculation simulation

参数	值
$R 2 l$ /Ω	300
$R 2 u$ /Ω	30000
N_s	30
f_s/MHz	10
α	0.3
γ	0.6
C₁/nF	2
R₄/kΩ	100
R₁/Ω	20
$t s u$ /ms	100
N_d	100

图11 HHO算法不同阶段

Fig.11 Different phases of the standard HHO algorithm

图12 基于HHO算法的系统参数优化方法流程

Fig.12 Flowchart of system parameter optimization method based on HHO algorithm

图13 不同算法参数优化仿真结果

Fig.13 Simulated results of optimization of parameters by different algorithms

图14 3种算法各执行10次时优化结果对比

Fig.14 The optimization result graph when each of the three algorithms performs 10 times

表3 采用优化算法前后系统性能对比表

Table 3 System performances before and after using optimization algorithm

C₁/nF	t_s/ms		信息可靠接收比
C₁/nF	优化前	优化后	优化前	优化后
2	65	45.701	0.8370	0.6017
5	65	47.059	0.5950	0.6008
8	65	48.060	0.3520	0.6010
11	65	48.865	0.1083	0.6009
14	65	49.575	0	0.6016

图15 实验室静态试验系统

Fig.15 Laboratory static test system

表4 不同信息周期、装定电阻下的装定时间

Table 4 Setting time under different information cycles and setting resistancesms

电阻/ kΩ	周期/μs
电阻/ kΩ	30	64	100	200	500	1000
0.3	83.4	85.1	87.6	94.8	113.8	147.0
1.0	54.0	56.0	58.8	65.4	85.0	125.0
2.1	50.0	51.6	54.6	61.0	80.4	125.0
5.1	48.4	50.6	53.4	59.6	79.4	125.0
10.0	47.4	49.8	52.2	59.2	78.6	125.0
30.0	46.8	49.6	51.8	58.4	78.2	125.0

表5 不同信息周期、装定电阻下信息可靠接收比

Table 5 Reliable reception ratios of information under different information cycles and setting resistances

电阻/ kΩ	周期/μs
电阻/ kΩ	30	64	100	200	500	1000
0.3	0.989	0.993	0.995	0.996	0.996	0.997
1.0	0.711	0.874	0.920	0.956	0.967	0.973
2.1	0.344	0.624	0.793	0.883	0.933	0.947
5.1	0	0.200	0.507	0.710	0.847	0.887
10.0	0	0	0.087	0.457	0.750	0.780
30.0	0	0	0	0.102	0.250	0.667

图16 优化前后装定及能量波形

Fig.16 Setting and energy waveforms before and after optimization

图17 优化前后信息可靠接收比

Fig.17 Information reliable reception ratios before and after optimization

参考文献 27

[1]	张合, 于航, 戴可人, 等. 复杂广域战场下灵巧引信精准起爆控制问题[J]. 兵工学报, 2022, 43(10):2527-2533.
	ZHANG H, YU H, DAI K R, et al. Precision detonation control problem of smart fuze in complex wide-area battlefield[J]. Acta Armamentarii, 2022, 43(10):2527-2533. (in Chinese) doi: 10.12382/bgxb.2021.0530
[2]	张合, 廖翔, 杨宇鑫, 等. 引信——时空识别与过程控制[J]. 探测与控制学报, 2020, 42(1):1-5.
	ZHANG H, LIAO X, YANG Y X, et al. Time and space recognition and process control of fuze[J]. Journal of Detection & Control, 2020, 42(1):1-5. (in Chinese)
[3]	李长生, 李炜昕, 张合, 等. 引信用磁耦合谐振系统复杂环境能量损耗分析[J]. 兵工学报, 2014, 35(8):1137-1143. doi: 10.3969/j.issn.1000-1093.2014.08.001
	LI C S, LI W X, ZHANG H, et al. Research on energy loss of fuze setting system based on magnetic resonant coupling in complex environment[J]. Acta Armamentarii, 2014, 35(8):1137-1143. (in Chinese)
[4]	李长生, 张合. 基于磁共振的引信用能量和信息无线同步传输方法研究[J]. 兵工学报, 2011, 32(5): 537-542.
	LI C S, ZHANG H. Research on wireless power and information synchronous transmission method based on magnetic resonance for fuzes[J]. Acta Armamentarii, 2011, 32(5): 537-542. (in Chinese)
[5]	常悦, 沈晓军, 李杰, 等. 灵巧弹药感应装定系统基带码型特征分析及应用研究[J]. 兵工学报, 2016, 37(6):996-1005. doi: 10.3969/j.issn.1000-1093.2016.06.005
	CHANG Y, SHEN X J, LI J, et al. Analysis and application research on baseband code characteristics of inductive setting system for smart ammunition[J]. Acta Armamentarii, 2016, 37(6):996-1005. (in Chinese) doi: 10.3969/j.issn.1000-1093.2016.06.005
[6]	DAVID S. M256 ammunition datalink development-testing-fielding[C]//Proceedings of the 2015 Armament Systems Forum. Baltimore, MD, US: NDIA, 2015.
[7]	陈德亮. 共线式底火装定系统可靠性评估与试验研究[D]. 南京: 南京理工大学, 2017.
	CHEN D L. The reliability evaluation and experimental study on collinear primer setting system[D]. Nanjing: Nanjing University of Science & Technology, 2017. (in Chinese)
[8]	郎需强, 陈曦, 王伟, 等. 基于独特码的无源射频装定系统研究[J]. 兵工学报, 2016, 37(增刊2):29-35.
	LANG X Q, CHEN X, WANG W, et al. Research on passive radio frequency setting system based on unique signal[J]. Acta Armamentarii, 2016, 37(S2):29-35. (in Chinese)
[9]	常悦, 周晓东, 李杰. 基于广义失谐量的引信能量无线传输控制方法[J]. 北京理工大学学报, 2017, 37(8):858-862.
	CHANG Y, ZHOU X D, LI J. Power wireless transmission control method for fuze inductive setting with generalized detuning quantity[J]. Transactions of Beijing Institute of Technology, 2017, 37(8):858-862. (in Chinese)
[10]	廖翔, 李豪杰, 张合. 坦克炮弹药共用底火装定能量双向隔离系统设计方法[J]. 兵工学报, 2017, 38(4): 673-678. doi: 10.3969/j.issn.1000-1093.2017.04.007
	LIAO X, LI H J, ZHANG H. Design method of energy isolation system for fuze setting via primer[J]. Acta Armamentarii, 2017, 38(4): 673-678. (in Chinese) doi: 10.3969/j.issn.1000-1093.2017.04.007
[11]	李昊, 李豪杰, 原红伟, 等. 分布电容对引信共线装定系统信息传输特性的影响及其优化[J]. 兵工学报, 2024, 45(1):319-327. doi: 10.12382/bgxb.2022.0406
	LI H, LI H J, YUAN H W, et al. Influence of distributed capacitance on information transmission characteristics of collinear setting system of fuze and its optimization[J]. Acta Armamentarii, 2024, 45(1):319-327. (in Chinese) doi: 10.12382/bgxb.2022.0406
[12]	廖翔. 基于能量和信息同步传输的引信高精度动态开环控制技术[D]. 南京: 南京理工大学, 2019.
	LIAO X. Fuze high accruacy dynamic open-loop control technology based on simultaneous power and information transfer[D]. Nanjing: Nanjing University of Science & Technology, 2019. (in Chinese)
[13]	魏亚伟, 李豪杰, 余春华, 等. 引信参数变化对装定性能的影响[J]. 探测与控制学报, 2021, 43(2):31-35.
	WEI Y W, LI H J, YU C H, et al. Model construction of fuze wire setting system and influence of parameter change on setting performance[J]. Journal of Detection & Control, 2021, 43(2): 31-35. (in Chinese)
[14]	陈德亮, 丁立波, 廖翔. 共线式底火装定电缆对信号传输的影响研究[J]. 兵器装备工程学报, 2017, 38(3):62-66.
	CHEN D L, DING L B, LIAO X. Study on effect of collinear primer set cable on signal transmission[J]. Journal of Ordnance Equipment Engineering, 2017, 38(3): 62-66. (in Chinese)
[15]	KRIKIDIS I, TIMOTHEOU S, NIKOLAOU S, et al. Simultaneous wireless information and power transfer in modern communication systems[J]. IEEE Communications Magazine, 2014, 52(11): 104-110.
[16]	PERERA T D, JAYAKODY D N K, SHARMA S K, et al. Simultaneous wireless information and power transfer (SWIPT): recent advances and future challenges[J]. IEEE Communications Surveys & Tutorials, 2017, 20(1): 264-302.
[17]	CLERCKX B, ZHANG R, SCHOBER R, et al. Fundamentals of wireless information and power transfer: from RF energy harvester models to signal and system designs[J]. IEEE Journal on Selected Areas in Communications, 2018, 37(1): 4-33.
[18]	CLERCKX B, KIM J, CHOI K W, et al. Foundations of wireless information and power transfer: theory, prototypes, and experiments[J]. Proceedings of the IEEE, 2022, 110(1): 8-30.
[19]	TIMOTHEOU S, KRIKIDIS I, ZHENG G, et al. Beamforming for MISO interference channels with QoS and RF energy transfer[J]. IEEE Transactions on Wireless Communications, 2014, 13(5): 2646-2658.
[20]	CLERCKX B. Wireless information and power transfer: Nonlinearity, waveform design, and rate-energy tradeoff[J]. IEEE Transactions on Signal Processing, 2017, 66(4): 847-862.
[21]	TANG J, LUO J C, OU J H, et al. Decoupling or learning: Joint power splitting and allocation in MC-NOMA with SWIPT[J]. IEEE Transactions on Communications, 2020, 68(9): 5834-5848.
[22]	LI Z D, CHEN W, WU Q Q, et al. Joint beamforming design and power splitting optimization in IRS-assisted SWIPT NOMA networks[J]. IEEE Transactions on Wireless Communications, 2021, 21(3): 2019-2033.
[23]	LU Y, XIONG K, FAN P Y, et al. Worst-case energy efficiency in secure SWIPT networks with rate-splitting ID and power-splitting EH receivers[J]. IEEE Transactions on Wireless Communications, 2021, 21(3): 1870-1885.
[24]	李长生, 董文杰, 曹娟, 等. 引信非线性宇称时间对称无线装定系统信息双向传输方法[J]. 兵工学报, 2021, 42(12):2565-2574. doi: 10.3969/j.issn.1000-1093.2021.12.004
	LI C S, DONG W J, CAO J, et al. A dual-directional information transmission method for fuze wireless setting system based on nonlinear parity-time-symmetry[J]. Acta Armamentarii, 2021, 42(12): 2565-2574. (in Chinese) doi: 10.3969/j.issn.1000-1093.2021.12.004
[25]	AHMADI M M, SARBANDI-FARAHANI M. A class-E power and data transmitter with on-off keying data modulation for wireless power and data transmission to medical implants[J]. Circuits, Systems, and Signal Processing, 2020, 39: 4174-4186.
[26]	张九龙, 王晓峰, 芦磊, 等. 若干新型智能优化算法对比分析研究[J]. 计算机科学与探索, 2022, 16(1):88-105. doi: 10.3778/j.issn.1673-9418.2107028
	ZHANG J L, WANG X F, LU L, et al. Analysis and research of several new intelligent optimization algorithms[J]. Journal of Frontiers of Computer Science and Technology, 2022, 16(1): 88-105. (in Chinese)
[27]	HEIDARI A A, MIRJALILI S, FARIS H, et al. Harris hawks optimization: algorithm and applications[J]. Future Generation Computer Systems, 2019, 97: 849-872. doi: 10.1016/j.future.2019.02.028