In order to obtain the optimized aircraft design concept which meets the increasingly complex operation environment at the conceptual design stage,System-of-systems(So S)engineering must be considered.This paper propo...In order to obtain the optimized aircraft design concept which meets the increasingly complex operation environment at the conceptual design stage,System-of-systems(So S)engineering must be considered.This paper proposes a novel optimization method for the design of aircraft Mission Success Space(MSS)based on Gaussian fitting and Genetic Algorithm(GA)in the So S area.First,the concepts in the design and evaluation of MSS are summarized to introduce the Contribution to System-of-Systems(CSS)by using a conventional effectiveness index,Mission Success Rate(MSR).Then,the mathematic modelling of Gaussian fitting technique is noted as the basis of the optimization work.After that,the proposed optimal MSS design is illustrated by the multiobjective optimization process where GA acts as the search tool to find the best solution(via Pareto front).In the case study,a simulation system of penetration mission was built.The simulation results are collected and then processed by two MSS design schemes(contour and neural network)giving the initial variable space to GA optimization.Based on that,the proposed optimization method is implemented under both schemes whose optimal solutions are compared to obtain the final best design in the case study.展开更多
This paper presents a practical and efficient design method for aircraft Mission Success Space(MSS)based on the entropy measurement(EM).First,fundamentals regarding MSS,Inverse Design(ID)and entropy are discussed.Then...This paper presents a practical and efficient design method for aircraft Mission Success Space(MSS)based on the entropy measurement(EM).First,fundamentals regarding MSS,Inverse Design(ID)and entropy are discussed.Then,two EM schemes of entropy-based ID and the whole MSS ID procedure are given to demonstrate alternative ways of entropy quantification and MSS design.After that,Genetic Algorithm(GA)is utilized as a search algorithm to find the optimal MSS design with the minimum objective,entropy,in each EM scheme.A simulation case of aircraft penetration mission is given for the method validation where the best aircraft MSS design is obtained by GA according to the minimum entropy.Results from two schemes are compared at the end.展开更多
China’s first manned space docking mission between Shenzhou 9 spaceship and Tiangong1 target spacecraft achieved a complete success when all the three astronauts aboard climbed out of the Shenzhou 9 recoverable capsu...China’s first manned space docking mission between Shenzhou 9 spaceship and Tiangong1 target spacecraft achieved a complete success when all the three astronauts aboard climbed out of the Shenzhou 9 recoverable capsule in good physical condition on June 29. Jing Haipeng, commander of the Shenzhou 9, climbed out of展开更多
针对当前装备体系(system of systems,SoS)任务建模研究深入程度不足问题,提出装备SoS使命任务的概念模型和描述模型,在此基础上,首先对各层级任务的任务线程进行分析与规划,改进传统Petri网,提出一种基于层次确定与随机Petri网(hierarc...针对当前装备体系(system of systems,SoS)任务建模研究深入程度不足问题,提出装备SoS使命任务的概念模型和描述模型,在此基础上,首先对各层级任务的任务线程进行分析与规划,改进传统Petri网,提出一种基于层次确定与随机Petri网(hierarchical deterministic and stochastic Petri nets,HDSPN)的装备SoS任务线程建模方法,构建面向多层级使命任务的装备SoS任务线程模型。然后,结合基于可达性分析算法(reachability analysis algorithm,RAA)的装备SoS总体任务成功性仿真评估算法,启动仿真模型运行,实现对装备SoS总体任务成功性的有效评估,并通过案例分析,验证了模型的适用性。展开更多
文摘In order to obtain the optimized aircraft design concept which meets the increasingly complex operation environment at the conceptual design stage,System-of-systems(So S)engineering must be considered.This paper proposes a novel optimization method for the design of aircraft Mission Success Space(MSS)based on Gaussian fitting and Genetic Algorithm(GA)in the So S area.First,the concepts in the design and evaluation of MSS are summarized to introduce the Contribution to System-of-Systems(CSS)by using a conventional effectiveness index,Mission Success Rate(MSR).Then,the mathematic modelling of Gaussian fitting technique is noted as the basis of the optimization work.After that,the proposed optimal MSS design is illustrated by the multiobjective optimization process where GA acts as the search tool to find the best solution(via Pareto front).In the case study,a simulation system of penetration mission was built.The simulation results are collected and then processed by two MSS design schemes(contour and neural network)giving the initial variable space to GA optimization.Based on that,the proposed optimization method is implemented under both schemes whose optimal solutions are compared to obtain the final best design in the case study.
文摘This paper presents a practical and efficient design method for aircraft Mission Success Space(MSS)based on the entropy measurement(EM).First,fundamentals regarding MSS,Inverse Design(ID)and entropy are discussed.Then,two EM schemes of entropy-based ID and the whole MSS ID procedure are given to demonstrate alternative ways of entropy quantification and MSS design.After that,Genetic Algorithm(GA)is utilized as a search algorithm to find the optimal MSS design with the minimum objective,entropy,in each EM scheme.A simulation case of aircraft penetration mission is given for the method validation where the best aircraft MSS design is obtained by GA according to the minimum entropy.Results from two schemes are compared at the end.
文摘China’s first manned space docking mission between Shenzhou 9 spaceship and Tiangong1 target spacecraft achieved a complete success when all the three astronauts aboard climbed out of the Shenzhou 9 recoverable capsule in good physical condition on June 29. Jing Haipeng, commander of the Shenzhou 9, climbed out of
文摘针对当前装备体系(system of systems,SoS)任务建模研究深入程度不足问题,提出装备SoS使命任务的概念模型和描述模型,在此基础上,首先对各层级任务的任务线程进行分析与规划,改进传统Petri网,提出一种基于层次确定与随机Petri网(hierarchical deterministic and stochastic Petri nets,HDSPN)的装备SoS任务线程建模方法,构建面向多层级使命任务的装备SoS任务线程模型。然后,结合基于可达性分析算法(reachability analysis algorithm,RAA)的装备SoS总体任务成功性仿真评估算法,启动仿真模型运行,实现对装备SoS总体任务成功性的有效评估,并通过案例分析,验证了模型的适用性。
