Robust formation and reconfiguration control of multiple VTOL UAVs: Design and flight test

In this paper, a distributed robust feedback control strategy with inter-vehicle collision avoidance is proposed for formation and reconfiguration control of a team of VTOL UAVs. A potential-field approach is used to generate a desired velocity for each UAV which ensures that the team of UAVs can perform formation and reconfiguration, avoid inter-vehicle collision as well as track a specified virtual leader. Each UAV is controlled to track its desired velocity subject to dynamic constraints. The proposed feedback control is robust against error disturbances due to dynamic constraints and measurement noise. A formation flight test of three quadrotor UAVs demonstrates the effectiveness and robustness of the proposed formation control strategy.

[1]  Y. Matsuda,et al.  Ongoing research on disaster monitoring UAV at JAXA’s Aviation Program Group , 2008, 2008 SICE Annual Conference.

[2]  Gerardo Lafferriere,et al.  Decentralized control of vehicle formations , 2005, Syst. Control. Lett..

[3]  Dongbing Gu,et al.  A model predictive controller for robots to follow a virtual leader , 2009, Robotica.

[4]  K.P. Valavanis,et al.  Statistical profile generation for traffic monitoring using real-time UAV based video data , 2007, 2007 Mediterranean Conference on Control & Automation.

[5]  Domenico Prattichizzo,et al.  Discussion of paper by , 2003 .

[6]  Lincheng Shen,et al.  Formulation and a MOGA Based Approach for Multi-UAV Cooperative Reconnaissance , 2006, CDVE.

[7]  Ella M. Atkins,et al.  Distributed multi‐vehicle coordinated control via local information exchange , 2007 .

[8]  Nathan van de Wouw,et al.  A virtual structure approach to formation control of unicycle mobile robots using mutual coupling , 2011, Int. J. Control.

[9]  Patrick Doherty,et al.  A UAV Search and Rescue Scenario with Human Body Detection and Geolocalization , 2007, Australian Conference on Artificial Intelligence.

[10]  Randal W. Beard,et al.  A coordination architecture for spacecraft formation control , 2001, IEEE Trans. Control. Syst. Technol..

[11]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[12]  T.H. Lee,et al.  A leader-follower formation flight control scheme for UAV helicopters , 2008, 2008 IEEE International Conference on Automation and Logistics.

[13]  Min-Jea Tahk,et al.  Cascade-type guidance law design for multiple-UAV formation keeping , 2011 .

[14]  Tarek Hamel,et al.  A UAV for bridge inspection: Visual servoing control law with orientation limits , 2007 .

[15]  Jie Lin,et al.  Coordination of groups of mobile autonomous agents using nearest neighbor rules , 2003, IEEE Trans. Autom. Control..

[16]  S. Sukkarieh,et al.  Co-operative Localisation and Mapping for Multiple UAVs in Unknown Environments , 2007, 2007 IEEE Aerospace Conference.

[17]  Krishna R. Pattipati,et al.  Multi-step look-ahead policy for autonomous cooperative surveillance by UAVs in hostile environments , 2008, 2008 47th IEEE Conference on Decision and Control.

[18]  Jay A. Farrell,et al.  Cooperative Control of Multiple Nonholonomic Mobile Agents , 2008, IEEE Transactions on Automatic Control.

[19]  Hugh H. T. Liu,et al.  Formation UAV flight control using virtual structure and motion synchronization , 2008, 2008 American Control Conference.