Abstract
ABSTRACTA formation control and obstacle avoidance algorithm has been introduced in this paper for the V-shape formation flight of fixed-wing UAVs (Unmanned Aerial Vehicles) using the potential functions method. An innovative vector approach has been suggested to fix the conventional challenge in employing the artificial potential field (APF) approach (the creation of local minimums). A method called variable repulsive circles (VRC) has been then presented aimed at designing proper flight paths tailored with functional limitations of fixed-wing UAVs in facing obstacles. Finally, the efficiency of the designed algorithm has been examined and evaluated for different flight scenarios.
Publisher
Cambridge University Press (CUP)
Reference41 articles.
1. Worst-case analysis of moving obstacle avoidance systems for unmanned vehicles
2. 11. Kowdiki, K.H. , Barai, R.K. and Bhattacharya, S. Leader-follower formation control using artificial potential functions: a kinematic approach, IEEE-International Conference on Advances in Engineering, Science and Management (ICAESM-2012), Nagapattinam, Tamil Nadu, India, pp. 500–505. https://ieeexplore.ieee.org/document/6216054
3. 41. Anderson, J.D. Jr. Aircraft Performance and Design. Tata McGraw-Hill Edition, 2010.
4. Survey of Multi-agent Communication Strategies for Information Exchange and Mission Control of Drone Deployments
5. Collision and Obstacle Avoidance in Unmanned Aerial Systems Using Morphing Potential Field Navigation and Nonlinear Model Predictive Control
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献