Title :
Decentralized hybrid formation control of Unmanned Aerial Vehicles
Author :
Karimoddini, Ali ; Karimadini, Mohammad ; Hai Lin
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA
Abstract :
This paper presents a decentralized hybrid supervisory control approach for two unmanned helicopters that are involved in a leader-follower formation mission. Using a polar partitioning technique, the motion dynamics of the follower helicopters are abstracted to finite state machines. Then, a discrete supervisor is designed in a modular way for different components of the formation mission. Furthermore, a formal technique is developed to design the local supervisors decentralizedly, so that the team of helicopters as whole, can cooperatively accomplish a collision-free formation task.
Keywords :
autonomous aerial vehicles; decentralised control; discrete systems; mobile robots; motion control; collision-free formation task; decentralized hybrid formation control; decentralized hybrid supervisory control; discrete supervisor; finite state machine; leader-follower formation mission; motion dynamics; polar partitioning technique; unmanned aerial vehicle; unmanned helicopter; Aerospace electronics; Automata; Collision avoidance; Dynamics; Helicopters; Unmanned aerial vehicles; Vehicle dynamics; Autonomous systems; Cooperative control; Hybrid systems;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6858770