دورية أكاديمية

UAV Path Planning using MILP with Experiments

التفاصيل البيبلوغرافية
العنوان: UAV Path Planning using MILP with Experiments
المؤلفون: Anders Albert, Frederik S. Leira, Lars Imsland
المصدر: Modeling, Identification and Control, Vol 38, Iss 1, Pp 21-32 (2017)
بيانات النشر: Norwegian Society of Automatic Control, 2017.
سنة النشر: 2017
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: UAV, Path Planning, Mathematical Optimization, Electronic computers. Computer science, QA75.5-76.95
الوصف: In this paper, we look at the problem of tracking icebergs using multiple Unmanned Aerial Vehicles (UAVs). Our solutions use combinatorial optimization for UAV path planning by formulating a mixed integer linear programing (MILP) optimization problem. To demonstrate the approach, we present both a simulation and a practical experiment. The simulation demonstrates the possibilities of the MILP algorithm by constructing a case where three UAVs help a boat make a safe passage through an area with icebergs. Furthermore, we compare the performance of three against a single UAV. In the practical experiment, we take the first step towards full-scale experiments. We run the algorithm on a ground station and use it to set the path for a UAV tracking five simulated icebergs.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0332-7353
1890-1328
Relation: http://www.mic-journal.no/PDF/2017/MIC-2017-1-3.pdf; https://doaj.org/toc/0332-7353; https://doaj.org/toc/1890-1328
DOI: 10.4173/mic.2017.1.3
URL الوصول: https://doaj.org/article/6445d881cc954adaa7ecd4326a41dcd0
رقم الأكسشن: edsdoj.6445d881cc954adaa7ecd4326a41dcd0
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:03327353
18901328
DOI:10.4173/mic.2017.1.3