Formation Flight of Multiple UAVs via Onboard Sensor Information Sharing

To monitor large areas or simultaneously measure multiple points, multiple unmanned aerial vehicles (UAVs) must be flown in formation. To perform such flights, sensor information generated by each UAV should be shared via communications. Although a variety of studies have focused on the algorithms for formation flight, these studies have mainly demonstrated the performance of formation flight using numerical simulations or ground robots, which do not reflect the dynamic characteristics of UAVs. In this study, an onboard sensor information sharing system and formation flight algorithms for multiple UAVs are proposed. The communication delays of radiofrequency (RF) telemetry are analyzed to enable the implementation of the onboard sensor information sharing system. Using the sensor information sharing, the formation guidance law for multiple UAVs, which includes both a circular and close formation, is designed. The hardware system, which includes avionics and an airframe, is constructed for the proposed multi-UAV platform. A numerical simulation is performed to demonstrate the performance of the formation flight guidance and control system for multiple UAVs. Finally, a flight test is conducted to verify the proposed algorithm for the multi-UAV system.

[2]  Jinyoung Suk,et al.  Design of a Track Guidance Algorithm for Formation Flight of UAVs , 2015 .

[3]  Konstantin Kondak,et al.  Journal of Intelligent and Robotic Systems manuscript No. , 2022 .

[4]  Hyondong Oh,et al.  Nonlinear Model Predictive Coordinated Standoff Tracking of a Moving Ground Vehicle , 2011 .

[5]  Ted Miles,et al.  "Mini UAVs" for Atmospheric Measurements , 2007 .

[6]  Jonathan P. How,et al.  Performance and Lyapunov Stability of a Nonlinear Path Following Guidance Method , 2007 .

[7]  Hugh H. T. Liu,et al.  Multiple UAVs formation flight experiments using Virtual Structure and Motion Synchronization , 2009 .

[8]  George J. Pappas,et al.  Experimental cooperative control of fixed-wing unmanned aerial vehicles , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[9]  Tao Wang,et al.  Camera Based Localization for Autonomous UAV Formation Flight , 2011 .

[10]  Sung Won Moon,et al.  Cooperative Surveillance and Boundary Tracking with Multiple Quadrotor UAVs , 2013 .

[11]  Jinyoung Suk,et al.  A modified nonlinear guidance logic for a leader-follower formation flight of two UAVs , 2009, 2009 ICCAS-SICE.

[12]  Mario Innocenti,et al.  Formation flight control - A behavioral approach , 2001 .

[13]  Atilla Dogan,et al.  A Multi-UAV simulation for formation reconfiguration , 2004 .

[14]  Ajay Verma,et al.  UAV Formation Command and Control Management , 2003 .

[15]  Daewon Lee,et al.  Fully Autonomous Vision-Based Net-Recovery Landing System for a Fixed-Wing UAV , 2013, IEEE/ASME Transactions on Mechatronics.

[17]  Lorenz A. Schmitt,et al.  Collision-Avoidance Framework for Small Fixed-Wing Unmanned Aerial Vehicles , 2014 .

[18]  C.J. Tomlin,et al.  Automated multiple UAV flight - the Stanford DragonFly UAV Program , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[19]  Takeshi Yamasaki,et al.  Coordinated Standoff Flights for Multiple UAVs via Second-Order Sliding Modes , 2015 .

[20]  Marcello R. Napolitano,et al.  Design and Flight Testing Evaluation of Formation Control Laws , 2006, IEEE Transactions on Control Systems Technology.

[21]  Timothy W. McLain,et al.  Decentralized Cooperative Aerial Surveillance Using Fixed-Wing Miniature UAVs , 2006, Proceedings of the IEEE.