A Precise Model of Insect Flight Vitality and Development of Unmanned Micro Aerial Vehicle

Anandan, R. and Kalaivani, K. (2021) A Precise Model of Insect Flight Vitality and Development of Unmanned Micro Aerial Vehicle. Journal of The Institution of Engineers (India): Series B, 102 (5). pp. 915-926. ISSN 2250-2106

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Abstract

In recent times, scores of innovations are taking place in the field of unmanned aerial vehicle (UAV) technology that includes continuous development of design of on-board processing, memory, storage, and communication capabilities. Since UAVs are now being used extensively in many areas of expertise that include commercial, military, civilian, agricultural, and environmental applications, it is very essential that these UAVs communicate efficiently. The communication may be of the UAVto-UAV (U2U) type or it could be with the already existing prevalent networking infrastructures UAV-to-Infrastructure (U2I) type of communication. A new prototype is developed based on the insect flight dynamism. These insect wings are very thin membranous structure. They are subjected to many forces and follow aerodynamic flying and hovering. The current research trend on this subject is the simulation of insect wing structure and utilization to create a prototype for the development of unmanned micro air vehicles. In the present study, three flying insects such as dragon fly, cicada, and jewel beetle are selected and the wing aerodynamic arameters are analyzed by mathematical models. The comparative scanning of the data revealed that cicada wing structure is their aerodynamic characteristics may serve as a prototype. The results are discussed with relation to the base data for the flapping-wing system in micro air vehicle. In this paper, we have tried to put forward an approach that is capable of providing real-time positioning and tracking of a UAV. The approach has three parts: tracking device, backend server, and mobile app.

Item Type: Article
Subjects: Computer Science Engineering > Data Engineering
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 12 Sep 2024 08:52
Last Modified: 12 Sep 2024 08:52
URI: https://ir.vistas.ac.in/id/eprint/5646

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