As modern technology continues to advance, drones and their applications have attracted more and more attention. What is more efficient to achieve the trajectory planning and optimization of UAVs has become more and more important. Particle swarm algorithm is widely used in the field of UAVs, and it plays an important role in determining the path of UAVs. In this paper we will explore UAV trajectory planning based on particle swarm algorithm. The main work includes: Firstly, the dynamics attitude control about quadrotor UAV is studied. Subsequently, a comprehensive mathematical framework for Unmanned Aerial Vehicle (UAV) trajectory optimization is formulated, wherein the Particle Swarm Optimization (PSO) algorithm is employed to ascertain the optimal path planning solution. Ultimately, the efficacy of the algorithm, both prior to and following enhancement, is evaluated through the application of two standard benchmark functions.
Autonomous Attitude Control and Trajectory Planning for UAV
Springer Aerospace Techn.
International Conference on Advanced Unmanned Aerial Systems ; 2024 ; Nanchang, China September 20, 2024 - September 22, 2024
2025-03-18
11 pages
Article/Chapter (Book)
Electronic Resource
English
Safe trajectory planning of autonomous vehicles.
Safe trajectory planning of AV
DSpace@MIT | 2006
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