Title :
Autonomous mission execution for multiple unmanned aerial vehicles with hierarchical-distributed methodology
Author :
Kemao Peng ; Tao Pang ; Feng Lin ; Chen, Ben M.
Author_Institution :
Temasek Labs., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
A hierarchical-distributed methodology (HDM) is presented to implement the autonomous mission execution for multiple unmanned aerial vehicles (UAVs). The main idea of HDM is to divide the event control law into the group and individual event control laws. The group event control law is focused on the mission events. The individual event control laws are focused on the task events and motion events. Such division is reasonable as it emphasizes the task management and dynamic control of the single UAV and simplifies the mission management of the multiple UAVs. The simulation results demonstrate that the closed-loop system designed with the ideas of HDM autonomously completes the designated mission of the formation flight.
Keywords :
autonomous aerial vehicles; closed loop systems; HDM; UAV; autonomous mission execution; closed-loop system; dynamic control; formation flight; group event control law; hierarchical-distributed methodology; individual event control law; mission events; mission management; motion events; multiple unmanned aerial vehicles; task events; task management; Collision avoidance; Control design; Dynamics; Path planning; Schedules; Unmanned aerial vehicles; Vectors;
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
DOI :
10.1109/ICCA.2014.6871123