改进的体系进化架构优化设计方法

doi:10.12305/j.issn.1001-506X.2021.05.14

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (5): 1270-1276.doi: 10.12305/j.issn.1001-506X.2021.05.14

改进的体系进化架构优化设计方法

任天助^1,*(), 辛万青²(), 严晞隽¹(), 赵鸿宇³(), 黄辉¹()

1. 北京宇航系统工程研究所, 北京 100076
2. 中国运载火箭技术研究院, 北京 100076
3. 北京精密机电控制设备研究所, 北京 100076

收稿日期:2020-05-08 出版日期:2021-05-01 发布日期:2021-04-27
通讯作者: 任天助 E-mail:fatianbao@buaa.edu.cn;xinwq1965@163.com;yanxj2003@sina.com;13161120042@163.com;15313150909@163.com
作者简介:任天助(1992—), 男, 博士研究生, 主要研究方向为体系工程研究、体系设计。E-mail: fatianbao@buaa.edu.cn|辛万青(1965—), 男, 研究员, 博士, 主要研究方向为飞行器设计。E-mail: xinwq1965@163.com|严晞隽(1974—), 男, 研究员, 博士, 主要研究方向为装备体系设计与效能评估。E-mail: yanxj2003@sina.com|赵鸿宇(1992—), 女, 工程师, 硕士, 主要研究方向为系统工程与控制理论。E-mail: 13161120042@163.com|黄辉(1985—), 男, 高级工程师, 博士, 主要研究方向为装备体系设计E-mail: 15313150909@163.com
基金资助:
国家自然科学基金(61975151)

Improved system-of-systems optimization design method for evolutionary architecture

Tianzhu REN^1,*(), Wanqing XIN²(), Xijun YAN¹(), Hongyu ZHAO³(), Hui HUANG¹()

1. Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China
2. China Academy of Launch Vehicle Technology, Beijing 100076, China
3. Beijing Precision Mechanical and Electrical Control Equipment Research Institute, Beijing 100076, China

Received:2020-05-08 Online:2021-05-01 Published:2021-04-27
Contact: Tianzhu REN E-mail:fatianbao@buaa.edu.cn;xinwq1965@163.com;yanxj2003@sina.com;13161120042@163.com;15313150909@163.com

摘要/Abstract

摘要：

针对体系的复杂性、自主性和演化性特点, 提出一套能够对体系开展优化设计的流程方法。通过引入联合能力集成与开发系统的需求分析方法对体系进化架构进行改进, 提升体系进化架构对需求的获取能力。并在进化算法优化的过程中, 对体系级、系统级和子系统级各层设计变量采用一体化编码形式纳入到进化架构中。最后, 以海上救援问题作为应用案例, 验证了优化设计方法的可行性。

关键词: 体系工程, 体系优化设计, 进化架构

Abstract:

In view of the complexity, independence and evolution of the system-of-systems (SoS), a set of process methods is proposed to optimize the design of SoS. The evolutionary architecture of the SoS is improved by introducing the requirements analysis method of joint capabilities integration and development system(JCIDS), which improves the capability of evolutionary architecture obtaining requirements. In addition, in the process of evolutionary algorithm optimization SoS-level, system-level and subsystem-level design variables are incorporated into the evolutionary architecture, which is realized with the integrated coding pattern. Finally, the feasibility of the optimization design method is verified by taking the maritime rescue as an application case.

Key words: system-of-systems (SoS) engineering, SoS optimization design, evolutionary architecture

中图分类号:

N945

任天助, 辛万青, 严晞隽, 赵鸿宇, 黄辉. 改进的体系进化架构优化设计方法[J]. 系统工程与电子技术, 2021, 43(5): 1270-1276.

Tianzhu REN, Wanqing XIN, Xijun YAN, Hongyu ZHAO, Hui HUANG. Improved system-of-systems optimization design method for evolutionary architecture[J]. Systems Engineering and Electronics, 2021, 43(5): 1270-1276.

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条件	任务	标准
(1) 海况条件: 3级以下 (2) 近岸条件: 距离岸边50海里以内 (3) 能见度条件: 2 km以上 (4) 遇险总人数条件: 10人以内	发现海上险情启动应急响应	虚警、误警概率＜5% 制定救援方案用时＜10 min
	确定海上遇险的搜救范围并派出救援力量	定位搜救范围大小＜3海里确定搜救范围用时＜10 min
	救援力量到达指定的搜救位置	救援力量到达指定位置时间＜80 min
	搜索遇险人员	根据情报搜索遇险人员用时＜20 min
	转运遇险人员	转运每个遇险人员用时＜15 min

任务条件	乐观条件	平均条件	悲观条件
条件出现概率/%	35	45	20
海况/级	＜3	3~8	＞8
离岸距离/海里	＜50	50~200	＞200
能见度/km	＞2	0.5~2	＜0.5
遇险总人数/人	＜10	10~20	＞20

能力F	能力满足度评估值/排序	能力属性评价	满足各条件下标准程度	能力权重
指挥通信能力f₁	79.55%/3	决策时间	86.59%	0.80
指挥通信能力f₁	79.55%/3	虚警误警率	51.37%	0.20
运输机动能力f₂	69.00%/1	救援力量到达时间	68.43%	0.65
运输机动能力f₂	69.00%/1	单个遇险人员平均转运时间	70.05%	0.35
搜索探测能力f₃	77.21%/2	遇险区域定位时间	85.71%	0.10
		搜索遇险人员用时	84.52%	0.30
		遇险区域定位精度	72.13%	0.60

算法	性能参数
算法	求最优解平均迭代次数	平均调用评估函数次数	最优评估值/min
分层优化模式	67	1 375	213
本文优化模式	346	3 718	176

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改进的体系进化架构优化设计方法

Improved system-of-systems optimization design method for evolutionary architecture

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