TARGETING A ROCKET AT A MOVING OBJECT USING UNMANNED AERIAL VEHICLES (UAVs) Cover Image

TARGETING A ROCKET AT A MOVING OBJECT USING UNMANNED AERIAL VEHICLES (UAVs)
TARGETING A ROCKET AT A MOVING OBJECT USING UNMANNED AERIAL VEHICLES (UAVs)

Author(s): Elshan Hashimov, Elkhan Sabziev, Bahruz Huseynov
Subject(s): Education, General Reference Works, Business Economy / Management
Published by: Regional Department of Defense Resources Management Studies
Keywords: Unmanned aerial vehicles; armored vehicles; movement trajectory; artillery shell; combat weapons;

Summary/Abstract: This article discusses the evolving nature of modern warfare, emphasizing the shift towards, autonomous weapons and artificial intelligence-driven military operations. İt underscores the importance of high-tech combat vehicles, the need for constant improvements in military capabilities, and the role of well-trained units in achieving victory such as the Second Karabakh War and the Russian-Ukraine War. The article particularly focuses on the secure transportation of military personnel in war zones and the challenges associated with it. It highlights the use of unmanned aerial vehicles (UAVs) for constant observation, reconnaissance, and directing artillery missiles to enhance the safety of personnel during transport. The main research objective is to solve mathematically the problem of directing unguided rockets to destroy enemy vehicles in motion. The article presents a mathematical model for this purpose, taking into account various factors such as coordinates, speed, and trajectory of enemy vehicles. It also discusses the practical applications of this model in military scenarios. İn conclusion, the article emphasizes the significance of technological advancements, especially in the use of UAVs and guided artillery projectiles, in modern warfare. İt offers a mathematical approach to targeting moving enemy vehicles, contributing to the development of military tactics and strategies.

  • Issue Year: 14/2023
  • Issue No: 2
  • Page Range: 117-124
  • Page Count: 8
  • Language: English