Algorithm for Calculating the Flight Time of an Unmanned Aerial Vehicle for Aerial Photography

Author:

Kurbanov R. K.1

Affiliation:

1. Federal Scientific Agroengineering Center VIM

Abstract

The paper shows the possibility of using unmanned aerial vehicles with additional outboard equipment for aerial photography. It is noted that some parameters of the drone and additional suspension equipment are not taken into account by the software when calculating the drone flight time for one battery charge. (Research purpose) To develop an algorithm for calculating the flight time of an unmanned aerial vehicle with installed outboard equipment. (Materials and methods) The technical characteristics of DJI Phantom 4 pro and DJI Matrice 200v2 were studied, as well as the specifications of Parrot Sequoia, MicaSense Altum multispectral cameras mounted on the drone. The existing research results are used to calculate the flight mission time depending on the route length and the battery capacity. (Results and discussion) It is found that the maximum flight time of a drone with additional outboard equipment is reduced due to the additional equipment mass, increased power consumption, the preflight preparation time, the need to return to the take-off point and the necessity to preserve the battery life and save the flight load. The maximum flight time calculated for DJI Phantom 4 pro and DJI Matrice 200v2 with multispectral cameras Parrot Sequoia, MicaSense Altum is 8 minutes and 18 minutes, respectively, with a minimum flight load. A method for calculating the number of batteries for aerial photography with additional outboard equipment is determined. (Conclusions) An algorithm for calculating the flight time of an unmanned aerial vehicle with additional outboard equipment is developed, the parameters ignored by the standard software in the flight time calculation are taken into account.

Publisher

FSBI All Russian Research Institute for Mechanization in Agriculture (VIM)

Subject

General Medicine

Reference27 articles.

1. Baygutlina I.A. Ispytaniya novykh tipov BPLA [Testing new types of UAVs]. Prakticheskie aspekty primeneniya sovremennykh bespilotnykh letatel’nykh apparatov. 2022. 168-186 (In Russian).

2. Kostin P.I. Primenenie bespilotnykh letatel'nykh apparatov v lesnom khozyaystve [Application of unmanned aircraft in forestry]. Vestnik nauki i obrazovaniya. 2022. N1-2(121). 6062 (In Russian).

3. Lachuga Yu.F., Izmaylov A.Yu., Lobachevskiy Ya.P., Shogenov Yu. Kh. Rezul'taty nauchnykh issledovaniy agroinzhenernykh nauchnykh organizatsiy po razvitiyu tsifrovykh sistem v sel'skom khozyaystve (okonchanie) [The results of scientific research of agroengineering scientific organizations on the development of digital systems in agriculture]. Tekhnika i oborudovanie dlya sela. 2022. N4(298). 2-6 (In Russian).

4. Lobachevskiy Ya.P, Beylis V.M., Tsench Yu.S. Aspekty tsifrovizatsii sistemy tekhnologiy i mashin [Aspects of digitalization of the system of technologies and machines]. Elektrotekhnologii i elektrooborudovanie v APK. 2019. N3(36). 40-45 (In Russian).

5. Mazitov N.K., Shogenov Yu. Kh., Tsench Yu.S. Sel'skokhozyaystvennaya tekhnika: resheniya i perspektivy [Agricultural machinery: solutions and prospects]. Vestnik VIESH. 2018. N3(32). 94-100 (In Russian).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. USING DATA MINING TO ESTIMATE UNMANNED AERIAL VEHICLE BATTERY CONSUMPTION;Automation and modeling in design and management;2024-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3