Obstacle avoidance algorithm for swarm of quadrotor unmanned aerial vehicle (UAV)
Date of Publication
Master of Science in Electronics and Communications Engineering
Gokongwei College of Engineering
Electronics And Communications Engg
Elmer Jose P. Dadios
Defense Panel Chair
Defense Panel Member
Laurence A. Gan Lim
Argel A. Bandala
Unmanned aerial vehicle that is moving from one place to another needs to have a real-time obstacle avoidance controller to prevent collisions in the obstacles around it. In this study, the concept of Artificial Potential Field (APF) is proposed to implement obstacle avoidance in swarm of quadrotors. This is based on the assumptions that the target and obstacle will introduce a certain force that will direct the robot to its destination. The effectiveness of this method was tested in a computer simulation and in actual implementation using Crazyflie quadrotors. The primary goal of the quadrotor is to go from point A to point B without colliding to the obstacles around it. The experiment shows that the actual implementation were similar to simulation results. It also proved that the APF was effective in real-rime obstacle avoidance and does not require complex mathematical equations to implement.
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
1 computer optical disc ; 4 3/4 in.
Galvez, R. L. (2016). Obstacle avoidance algorithm for swarm of quadrotor unmanned aerial vehicle (UAV). Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/5206