Title :
Decentralized formation flight control of multiple fixed-wing UAVs using only local relative states
Author :
Yuan Li-Ping ; Chen Zong-Ji
Author_Institution :
Sch. of Comput. Sci. & Technol., Beihang Univ., Beijing, China
Abstract :
The formation flight control problem of multiple fixed-wing unmanned aerial vehicles (UAVs) is studied. Considering the kinematical characteristics of a group of fixed-wing UAVs, the formation graph is introduced to specify the formation geometry, which describes the relative position of any two UAVs with respect to the heading of the group respectively. Based on the formation graph, a decentralized formation flight control strategy via information consensus is presented, which consists of two individual parts, one is to synchronize the motion of UAVs using relative velocities and relative heading angles, while the other is to achieve and maintain the formation geometry using relative positions. Since only local relative state information is needed, this control strategy is easier to realize, with more flexibility and robustness, than any other formation control strategies. Simulation results demonstrate the effectiveness of the proposed formation flight control strategy.
Keywords :
aerospace robotics; aircraft control; decentralised control; graph theory; mobile robots; motion control; multi-robot systems; position control; remotely operated vehicles; robot kinematics; stability; synchronisation; UAV motion synchronization; UAV position; decentralized formation flight control; formation geometry; formation graph; information consensus; kinematical characteristics; local relative state information; multiple fixed-wing unmanned aerial vehicles; relative heading angle; relative velocity; robustness; Aerospace control; Educational institutions; Electronic mail; Geometry; Integrated circuits; Lead; Unmanned aerial vehicles; Formation Flight; Formation Graph; Information Consensus; Relative State; Unmanned Aerial Vehicle;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768