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Modeling and optimization of multiple unmanned aerial vehicles system architecture alternatives.

Qin D, Li Z, Yang F, Wang W, He L - ScientificWorldJournal (2014)

Bottom Line: This can be extracted as a multi UAVs system architecture problem.Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented.The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.

View Article: PubMed Central - PubMed

Affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.

ABSTRACT
Unmanned aerial vehicle (UAV) systems have already been used in civilian activities, although very limitedly. Confronted different types of tasks, multi UAVs usually need to be coordinated. This can be extracted as a multi UAVs system architecture problem. Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented. Then the corresponding optimization problem and an efficient genetic algorithm with a refined crossover operator (GA-RX) is proposed to accomplish the architecting process iteratively in the rest of this paper. The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.

Show MeSH
System architecture process.
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fig1: System architecture process.

Mentions: The first researcher to formalize the concept of “systems architecting” is Rechtin, and his book with Maier is the best introduction to this field [6]. More formally, Crawley defines architecture as “an abstract description of the entities of a system and the relationships between those entities.” However, a more precise definition is given by Crawley in MIT Engineering Systems Division as follows: “the embodiment of a concept: the allocation of physical/informational function to elements of form, and the definition of interfaces among the elements and with the surrounding context [7].” This precise definition can be expressed briefly as function-to-form mapping where the function executed by the different subsystems and the form is the relationship among them. The allocation of physical or informational elements of function into elements of form is one of the earliest and most important architectural decisions that have to be made. The concept of system architecture can be illustrated as in Figure 1. There are 7 different subsystems for architecting, and every subsystem can execute certain function. It is supposed that there are two alternatives to be selected. The function-to-form mapping of left alternative is {A: {1, 2, and 3}, B: {4, 5}, C: {6, 7}}. Function 1, function 2, and function 3 are mapping to form A; function 4 and function 5 are mapping to form B; function 6 and function 7 are mapping to form C. The mission can be accomplished by the combination of form A, form B, and form C. The right alternative is another function-to-form mapping which can also accomplish the mission. Then, the problem is which alternative to be selected as the ultimate architecture. The selecting process is usually based on the mission performance. This is the essence of the system architecting.


Modeling and optimization of multiple unmanned aerial vehicles system architecture alternatives.

Qin D, Li Z, Yang F, Wang W, He L - ScientificWorldJournal (2014)

System architecture process.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4129171&req=5

fig1: System architecture process.
Mentions: The first researcher to formalize the concept of “systems architecting” is Rechtin, and his book with Maier is the best introduction to this field [6]. More formally, Crawley defines architecture as “an abstract description of the entities of a system and the relationships between those entities.” However, a more precise definition is given by Crawley in MIT Engineering Systems Division as follows: “the embodiment of a concept: the allocation of physical/informational function to elements of form, and the definition of interfaces among the elements and with the surrounding context [7].” This precise definition can be expressed briefly as function-to-form mapping where the function executed by the different subsystems and the form is the relationship among them. The allocation of physical or informational elements of function into elements of form is one of the earliest and most important architectural decisions that have to be made. The concept of system architecture can be illustrated as in Figure 1. There are 7 different subsystems for architecting, and every subsystem can execute certain function. It is supposed that there are two alternatives to be selected. The function-to-form mapping of left alternative is {A: {1, 2, and 3}, B: {4, 5}, C: {6, 7}}. Function 1, function 2, and function 3 are mapping to form A; function 4 and function 5 are mapping to form B; function 6 and function 7 are mapping to form C. The mission can be accomplished by the combination of form A, form B, and form C. The right alternative is another function-to-form mapping which can also accomplish the mission. Then, the problem is which alternative to be selected as the ultimate architecture. The selecting process is usually based on the mission performance. This is the essence of the system architecting.

Bottom Line: This can be extracted as a multi UAVs system architecture problem.Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented.The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.

View Article: PubMed Central - PubMed

Affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.

ABSTRACT
Unmanned aerial vehicle (UAV) systems have already been used in civilian activities, although very limitedly. Confronted different types of tasks, multi UAVs usually need to be coordinated. This can be extracted as a multi UAVs system architecture problem. Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented. Then the corresponding optimization problem and an efficient genetic algorithm with a refined crossover operator (GA-RX) is proposed to accomplish the architecting process iteratively in the rest of this paper. The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.

Show MeSH