Flight Path Planning of Solar-Powered UAV for Sustainable Communication Relay

2020 ◽  
Vol 5 (4) ◽  
pp. 6772-6779
Author(s):  
Giancarlo Eder Guerra Padilla ◽  
Kun-Jung Kim ◽  
Seok-Hwan Park ◽  
Kee-Ho Yu
Keyword(s):  
Path Planning ◽  
Flight Path ◽  
Solar Powered

Flight Path Planning for a Solar Powered UAV in Wind Fields Using Direct Collocation

2020 ◽  
Vol 56 (2) ◽  
pp. 1094-1105 ◽  
Author(s):  
Seong-Hwan Kim ◽  
Giancarlo Eder Guerra Padilla ◽  
Kun-Jung Kim ◽  
Kee-Ho Yu
Keyword(s):  
Path Planning ◽  
Flight Path ◽  
Wind Fields ◽  
Direct Collocation ◽  
Solar Powered

A Novel Approach for Two-Stage UAV Path Planning in Pipeline Network Inspection

2020 ◽  
Author(s):  
Rui Qiu ◽  
Yongtu Liang
Keyword(s):  
Path Planning ◽  
Large Scale ◽  
Flight Path ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Two Stage ◽  
Calculation Time ◽  
Pipeline Network ◽  
Second Stage ◽  
Computational Performance

Abstract Currently, unmanned aerial vehicle (UAV) provides the possibility of comprehensive coverage and multi-dimensional visualization of pipeline monitoring. Encouraged by industry policy, research on UAV path planning in pipeline network inspection has emerged. The difficulties of this issue lie in strict operational requirements, variable flight missions, as well as unified optimization for UAV deployment and real-time path planning. Meanwhile, the intricate structure and large scale of the pipeline network further complicate this issue. At present, there is still room to improve the practicality and applicability of the mathematical model and solution strategy. Aiming at this problem, this paper proposes a novel two-stage optimization approach for UAV path planning in pipeline network inspection. The first stage is conventional pre-flight planning, where the requirement for optimality is higher than calculation time. Therefore, a mixed integer linear programming (MILP) model is established and solved by the commercial solver to obtain the optimal UAV number, take-off location and detailed flight path. The second stage is re-planning during the flight, taking into account frequent pipeline accidents (e.g. leaks and cracks). In this stage, the flight path must be timely rescheduled to identify specific hazardous locations. Thus, the requirement for calculation time is higher than optimality and the genetic algorithm is used for solution to satisfy the timeliness of decision-making. Finally, the proposed method is applied to the UAV inspection of a branched oil and gas transmission pipeline network with 36 nodes and the results are analyzed in detail in terms of computational performance. In the first stage, compared to manpower inspection, the total cost and time of UAV inspection is decreased by 54% and 56% respectively. In the second stage, it takes less than 1 minute to obtain a suboptimal solution, verifying the applicability and superiority of the method.

A method of 3D path planning for solar-powered UAV with fixed target and solar tracking

2019 ◽  
Vol 92 ◽  
pp. 831-838 ◽  
Author(s):  
Yu Huang ◽  
Jianguo Chen ◽  
Honglun Wang ◽  
Guofeng Su
Keyword(s):  
Path Planning ◽  
Fixed Target ◽  
Solar Tracking ◽  
Solar Powered

scholarly journals 3D FLIGHT PATH PLANNING FOR MULTIROTOR UAV

2020 ◽  
Vol 18 (1) ◽  
pp. 5-16
Author(s):  
Róbert SZABOLCSI ◽  
Keyword(s):  
Path Planning ◽  
Flight Path

Bi-level Flight Path Planning of UAV Formations with Collision Avoidance

2018 ◽  
Vol 93 (1-2) ◽  
pp. 193-211 ◽  
Author(s):  
Egidio D’Amato ◽  
Massimiliano Mattei ◽  
Immacolata Notaro
Keyword(s):  
Path Planning ◽  
Collision Avoidance ◽  
Flight Path ◽  
Level Flight
Sign in / Sign up

Export Citation Format

Share Document