Next Article in Journal
Electrically Driven Micro- and Nano-Scale Semiconductor Light Sources
Next Article in Special Issue
Nonlinear Modeling and Flight Validation of a Small-Scale Compound Helicopter
Previous Article in Journal
Anticancer Efficacy of Long-Term Stored Plasma-Activated Medium
Previous Article in Special Issue
Control of Flow around an Oscillating Plate for Lift Enhancement by Plasma Actuators
Article

Research on the Collision Avoidance Algorithm for Fixed-Wing UAVs Based on Maneuver Coordination and Planned Trajectories Prediction

College of systems engineering, National University of Defense Technology, Changsha 410073, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(4), 798; https://doi.org/10.3390/app9040798
Received: 15 January 2019 / Revised: 16 February 2019 / Accepted: 21 February 2019 / Published: 25 February 2019
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs))
This paper presents a novel collision avoidance (CA) algorithm for a cooperative fixed-wing unmanned aerial vehicle (UAV). The method is based on maneuver coordination and planned trajectory prediction. Each aircraft in a conflict generates three available maneuvers and predicts the corresponding planned trajectories. The algorithm coordinates planned trajectories between participants in a conflict, determines which combination of planned trajectories provides the best separation, eventually makes an agreement on the maneuver for collision avoidance and activates the preferred maneuvers when a collision is imminent. The emphasis is placed on providing protection for UAVs, while activating maneuvers late enough to reduce interference, which is necessary for collision avoidance in the formation and clustering of UAVs. The CA has been validated with various simulations to show the advantage of collision avoidance for continuous conflicts in multiple, high-dynamic, high-density and three-dimensional (3D) environments. It eliminates the disadvantage of traditional CA, which has high uncertainty, and takes the performance parameters of different aircraft into consideration and makes full use of the maneuverability of fixed-wing aircraft. View Full-Text
Keywords: fixed-wing UAV; Collision avoidance; conflict resolution; maneuver coordination fixed-wing UAV; Collision avoidance; conflict resolution; maneuver coordination
Show Figures

Figure 1

MDPI and ACS Style

Wan, Y.; Tang, J.; Lao, S. Research on the Collision Avoidance Algorithm for Fixed-Wing UAVs Based on Maneuver Coordination and Planned Trajectories Prediction. Appl. Sci. 2019, 9, 798. https://doi.org/10.3390/app9040798

AMA Style

Wan Y, Tang J, Lao S. Research on the Collision Avoidance Algorithm for Fixed-Wing UAVs Based on Maneuver Coordination and Planned Trajectories Prediction. Applied Sciences. 2019; 9(4):798. https://doi.org/10.3390/app9040798

Chicago/Turabian Style

Wan, Yu, Jun Tang, and Songyang Lao. 2019. "Research on the Collision Avoidance Algorithm for Fixed-Wing UAVs Based on Maneuver Coordination and Planned Trajectories Prediction" Applied Sciences 9, no. 4: 798. https://doi.org/10.3390/app9040798

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop