在不使用关于地球物理场的先验信息的情况下,一组无人低空飞行飞行器的高度最小化

Q3 Physics and Astronomy
A. Knyazhsky, A. Nebylov
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引用次数: 0

摘要

本文提出了一种使主要在地势最低处形成的一组低空无人飞行器的飞行高度最小化的方法。输入的信息是点倾斜范围、无人机当前运动参数和指定的路线终点。最后,通过对无人机在山区飞行的计算机仿真,验证了所提出的高度最小化方法的有效性。计算机模拟表明,根据轨迹起点和终点的位置、地形、允许运动扇区的大小和无人机的特性,一组低空飞行车辆的轨迹平均高度降低了大约150-540米,这使得运动明显低于地形的顶部。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Altitude minimization of a group of unmanned low-flying vehicles without use of a priori information about the physical fields of the Earth
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.
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来源期刊
Cybernetics and Physics
Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
1.70
自引率
0.00%
发文量
17
审稿时长
10 weeks
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.
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