航电系统体系贡献率权重演化动态综合评估

doi:10.3969/j.issn.1001-506X.2020.08.14

Abstract

Abstract:

With the development of application requirements, the system characteristics of avionics system construction are becoming increasingly obvious, and the system contribution rate evaluation for the avionics system becomes the key to guide its iterative updatation and optimization design. Aiming at the weight evolution problem of the indicator system, which is caused by the accumulation of expert knowledge over time and the change in combat scenarios including swarm and collaboration, a dynamic comprehensive method for multi-stage evaluation of the system contribution rate of the avionics system is proposed. Based on the mission capability elements of the avionics system, an evaluation indication system for the system contribution rate is constructed, and the particle swarm optimization algorithm is applied to achieve the time weighting of the effective evaluation stages. Compared with the traditional static single evaluation and dynamic evaluation based on entropy weight method (EWM) or technique for order preference by similarity to an ideal solution (TOPSIS), the proposed method fully reflects the weight allocation information and takes into account the phase sequence differences, and can also reflect the evaluation results more accurately, such as the indicator contribution weight and the capacity contribution distribution, which provides more reliable and flexible dicision method support for the development demonstration of the avionics system.

Key words: avionics system, system contribution rate, dynamic comprehensive evaluation, weight evolution, particle swarm optimization

CLC Number:

TP393

Xuan ZHOU, Feng HE, Xiaoyan GU, Zirui JIA, Huagang XIONG. Dynamic comprehensive evaluation with weight evolution forsystem contribution rate of avionics systems[J]. Systems Engineering and Electronics, 2020, 42(8): 1740-1750.

Figures/Tables 10

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符号标识	物理含义	示例
ξ(n_kⁱ)	n_kⁱ下层节点个数	ξ(n₂²)=2
Λ(n_kⁱ)	n_kⁱ下层节点有序集合	Λ(n₂²)={n₅³, n₆³}
Λ(n_kⁱ, j)	n_kⁱ第j个下层节点	Λ(n₂², 1)=n₃⁵
u(n_kⁱ)	n_kⁱ上层节点	u(n₁₀³)=n₄²
α(n_kⁱ)	n_kⁱ上层节点编号	α(n₁₀³)=4
β(n_kⁱ)	n_kⁱ在有序集合Λ(u(n_kⁱ))中的编号	β(n₁₀³)=1

参数指标	stage₁	stage₂	stage₃
γ	0.893 9	0.897 1	0.839 6
ζ_SS	0	0	1
ζ_EDC^0.2	0.087 6	0.224 8	0.687 6
ζ_EDC^0.3	0.141 8	0.316 4	0.541 8
ζ_EDC^0.4	0.231 6	0.336 8	0.431 6
ζ_DC	0.370 6	0.371 7	0.257 7
ζ_IDC	0.326 3	0.325 5	0.348 2

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Dynamic comprehensive evaluation with weight evolution forsystem contribution rate of avionics systems

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指标名称	ID	P	R^ideal	R^worst
通信容量/Mbps	1	52	100	10
覆盖范围/km	2	27	35	10
传输延迟/ms	3	4	1	10
误码率	4	2e-7	e-8	e-9
节点发现时间/s	5	14	10	20
网络规划时间/s	6	9	5	15
抗干扰性/%	7	80	95	60
抗截获性/%	8	78	95	70
抗窃听性/%	9	74	95	65
位置精度/m	10	31	10	100
速度精度/(m/s)	11	0.18	0.1	0.25
航向精度/(°)	12	1.6	1	2.5
航线规划时间/s	13	11	5	15
横向航迹偏差/%	14	6	4	10
测距精度/m	15	2	0.15	5
测速精度/(m/s)	16	2.3	1	3
测角精度/(°)	17	0.8	0.5	1
轨迹预测一致性/%	18	85	95	70
位置预测精确度/%	19	82	98	70
敌我属性准确度/%	20	90	98	80
目标类型准确度/%	21	86	95	75
虚警概率/%	22	0.18	0.05	0.3
漏警概率/%	23	0.33	0.09	0.6
失锁捕获时间/frame	24	36	20	50
干扰成功率/%	25	45	70	20
决策指挥时间/s	26	8	5	10
数据融合程度/level	27	4	5	2
体系结构通用性/level	28	3	3	1
飞行操纵自主性/level	29	2	4	1
显示输出时延/ms	30	264	150	370
指令输入识别率/%	31	95	98	90
调度派发合理性/%	32	84	95	75
性能降级鲁棒性/%	33	78	90	65
设备配置冗余度/copy	34	2	3	1
故障预测及时性/%	35	77	85	70
寿命预测准确度/%	36	59	80	50