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Distributed 3-D Path Planning for Multi-UAVs with Full Area Surveillance Based on Particle Swarm Optimization

التفاصيل البيبلوغرافية
العنوان: Distributed 3-D Path Planning for Multi-UAVs with Full Area Surveillance Based on Particle Swarm Optimization
المؤلفون: Nafis Ahmed, Chaitali J. Pawase, KyungHi Chang
المصدر: Applied Sciences, Vol 11, Iss 8, p 3417 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: 3D trajectory planning, unmanned aerial vehicle, distributed path planning, PSO, area surveillance, dynamic fitness function, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Collision-free distributed path planning for the swarm of unmanned aerial vehicles (UAVs) in a stochastic and dynamic environment is an emerging and challenging subject for research in the field of a communication system. Monitoring the methods and approaches for multi-UAVs with full area surveillance is needed in both military and civilian applications, in order to protect human beings and infrastructure, as well as their social security. To perform the path planning for multiple unmanned aerial vehicles, we propose a trajectory planner based on Particle Swarm Optimization (PSO) algorithm to derive a distributed full coverage optimal path planning, and a trajectory planner is developed using a dynamic fitness function. In this paper, to obtain dynamic fitness, we implemented the PSO algorithm independently in each UAV, by maximizing the fitness function and minimizing the cost function. Simulation results show that the proposed distributed path planning algorithm generates feasible optimal trajectories and update maps for the swarm of UAVs to surveil the entire area of interest.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 11083417
2076-3417
Relation: https://www.mdpi.com/2076-3417/11/8/3417; https://doaj.org/toc/2076-3417
DOI: 10.3390/app11083417
URL الوصول: https://doaj.org/article/bf7db0a88f2f4ce8b706361cc916afbe
رقم الأكسشن: edsdoj.bf7db0a88f2f4ce8b706361cc916afbe
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:11083417
20763417
DOI:10.3390/app11083417