{"title":"Altitude minimization of a group of unmanned low-flying vehicles without use of a priori information about the physical fields of the Earth","authors":"A. Knyazhsky, A. Nebylov","doi":"10.35470/2226-4116-2022-11-2-82-86","DOIUrl":null,"url":null,"abstract":"The article proposes a method for minimizing the altitued of a group of unmanned low-flying vehicles formed mainly over the lowest parts of the terrain. The input information is point slant ranges, the current parameters of the motion of the unmanned aerial vehicle and the specified end point of the route. As a result of the work, by means of computer simulation of Unmanned Arial Vehicle (UAV) motion in mountainous areas, the effectiveness of the proposed method for minimizing the altitude was evaluated. Computer simulation has shown that depending on the location of the start and end points of the trajectory, the terrain, the size of the permitted motion sector and the characteristics of the UAV, the average altitude of the trajectories of a group of low-flying vehicles decreases by approximately 150–540 m, which allows motion significantly below the tops of the terrain.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cybernetics and Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35470/2226-4116-2022-11-2-82-86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0
Abstract
The article proposes a method for minimizing the altitued of a group of unmanned low-flying vehicles formed mainly over the lowest parts of the terrain. The input information is point slant ranges, the current parameters of the motion of the unmanned aerial vehicle and the specified end point of the route. As a result of the work, by means of computer simulation of Unmanned Arial Vehicle (UAV) motion in mountainous areas, the effectiveness of the proposed method for minimizing the altitude was evaluated. Computer simulation has shown that depending on the location of the start and end points of the trajectory, the terrain, the size of the permitted motion sector and the characteristics of the UAV, the average altitude of the trajectories of a group of low-flying vehicles decreases by approximately 150–540 m, which allows motion significantly below the tops of the terrain.
期刊介绍:
The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.