Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints

This paper is to address a cooperative moving path following (CMPF) problem, in which a fleet of fixed-wing unmanned aerial vehicles (UAVs) are required to converge to and follow a desired geometric moving path while satisfying prespecified speed and spatial constraints. A representative application of the CMPF problem is the challenging mission scenario where a group of UAVs are tasked to track a moving ground target. The proposed methodology is based on the insight that a vehicle can follow a given path only through attitude control, thus leaving its speed as an extra input to be used at the coordination level. To deal with moving path following (MPF) of a single UAV, a non-singular control law is derived to steer the vehicle along the desired moving path which avoids the singularity problem in the previous MPF strategy. For multi-UAV coordination, a pursuit strategy is employed with the introduction of a virtual leader. To account for speed constraints and collision avoidance, conditions are derived under which the combined MPF and multi-UAV coordination closed-loop system is asymptotically stable while speed and spatial constraints are satisfied. Further simulation has been performed to demonstrate the effectiveness of the proposed method.

[1]  I. Kaminer,et al.  Time-Critical Cooperative Control of Multiple Autonomous Vehicles: Robust Distributed Strategies for Path-Following Control and Time-Coordination over Dynamic Communications Networks , 2012, IEEE Control Systems.

[2]  Pedro Encarnação,et al.  Moving Path Following for Unmanned Aerial Vehicles With Applications to Single and Multiple Target Tracking Problems , 2016, IEEE Transactions on Robotics.

[3]  Tyler H. Summers,et al.  Coordinated Standoff Tracking of Moving Targets: Control Laws and Information Architectures , 2008 .

[4]  Naira Hovakimyan,et al.  Safe Coordinated Maneuvering of Teams of Multirotor Unmanned Aerial Vehicles: A Cooperative Control Framework for Multivehicle, Time-Critical Missions , 2016, IEEE Control Systems.

[5]  Timothy W. McLain,et al.  Vector Field Path Following for Miniature Air Vehicles , 2007, IEEE Transactions on Robotics.

[6]  Antonio M. Pascoal,et al.  Adaptive, non-singular path-following control of dynamic wheeled robots , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[7]  S. Griffiths Vector Field Approach for Curved Path Following for Miniature Aerial Vehicles , 2006 .

[8]  Lu Liu,et al.  Cooperative Control for Moving-Target Circular Formation of Nonholonomic Vehicles , 2017, IEEE Transactions on Automatic Control.

[9]  Antonio M. Pascoal,et al.  Coordinated motion control of marine robots , 2003 .

[10]  Eric W. Frew,et al.  Coordinated Standoff Tracking of Moving Targets Using Lyapunov Guidance Vector Fields , 2008 .

[11]  Naira Hovakimyan,et al.  Time-Critical Cooperative Path Following of Multiple Unmanned Aerial Vehicles over Time-Varying Networks , 2013 .

[12]  Danwei Wang,et al.  Non-singular moving path following control for an unmanned aerial vehicle under wind disturbances , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

[13]  Naira Hovakimyan,et al.  Cooperative Path Following of Multiple Multirotors Over Time-Varying Networks , 2015, IEEE Transactions on Automation Science and Engineering.

[14]  Lionel Lapierre,et al.  Nonsingular path following control of a unicycle in the presence of parametric modelling uncertainties , 2006 .

[15]  P. B. Sujit,et al.  Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed-Wing Unmanned Aerial Vehicless , 2014, IEEE Control Systems.

[16]  Randal W. Beard,et al.  Fixed Wing UAV Path Following in Wind With Input Constraints , 2014, IEEE Transactions on Control Systems Technology.