Event-Based Formation Control of Multiple Quadrotors on SO(3)

This paper is concerned with the formation problem of multiple quadrotors, and an event-based control strategy is proposed. The communication topology and relative positions of formation are first considered, and then the model of multiple quadrotors system is developed on the special orthogonal group SO(3). By designing the trigger function, certain events are generated for each quadrotor. Then, the formation controller is driven to update its parameters according to the events. The attitude controller on SO(3) is designed for tracking of the command and stabilization. By the proposed method continuous communication is not required between quadrotors, and it is proved that the quadrotors could achieve the desired formation. Simulation illustrates that the proposed event-based formation control method is effective.

[1]  Taeyoung Lee Global Exponential Attitude Tracking Controls on ${\mathsf {SO}}({\mathsf 3})$ , 2015 .

[2]  Jie Huang,et al.  Event-triggered cooperative robust practical output regulation for a class of linear multi-agent systems , 2016, Autom..

[3]  Yao Wang,et al.  Distributed cooperative control for multiple quadrotor systems via dynamic surface control , 2013, Nonlinear Dynamics.

[4]  Taeyoung Lee,et al.  Geometric tracking control of a quadrotor UAV on SE(3) , 2010, 49th IEEE Conference on Decision and Control (CDC).

[5]  Zhong-Ping Jiang,et al.  Event-based consensus of multi-agent systems with general linear models , 2014, Autom..

[6]  Zhang Ren,et al.  Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying , 2017, IEEE Transactions on Industrial Electronics.

[7]  Rogelio Lozano,et al.  Robust Quadrotor Control: Attitude and Altitude Real-Time Results , 2017, J. Intell. Robotic Syst..

[8]  Nikhil Nigam,et al.  Control of Multiple UAVs for Persistent Surveillance: Algorithm and Flight Test Results , 2012, IEEE Transactions on Control Systems Technology.

[9]  Weihua Zhao,et al.  Quadcopter formation flight control combining MPC and robust feedback linearization , 2014, J. Frankl. Inst..

[10]  Guanghui Wen,et al.  Finite-time formation control for a group of quadrotor aircraft , 2017 .

[11]  V. Santibáñez,et al.  Quad-rotors formation based on potential functions with obstacle avoidance , 2012 .

[12]  Rui Wang,et al.  Adaptive formation control of quadrotor unmanned aerial vehicles with bounded control thrust , 2017 .

[13]  Yang Shi,et al.  Integral Sliding Mode Flight Controller Design for a Quadrotor and the Application in a Heterogeneous Multi-Agent System , 2017, IEEE Transactions on Industrial Electronics.

[14]  Hyo-Sung Ahn,et al.  A survey of multi-agent formation control , 2015, Autom..

[15]  Adha Imam Cahyadi,et al.  Robust proportional-derivative control on SO(3) with disturbance compensation for quadrotor UAV , 2017 .

[16]  W. P. M. H. Heemels,et al.  Analysis of event-driven controllers for linear systems , 2008, Int. J. Control.

[17]  Xiaodong Zhang,et al.  Quadrotor Actuator Fault Diagnosis and Accommodation Using Nonlinear Adaptive Estimators , 2017, IEEE Transactions on Control Systems Technology.

[18]  Karl Henrik Johansson,et al.  Distributed Event-Triggered Control for Multi-Agent Systems , 2012, IEEE Transactions on Automatic Control.

[19]  Nejat Olgac,et al.  Stability of formation control using a consensus protocol under directed communications with two time delays and delay scheduling , 2016, Int. J. Syst. Sci..

[20]  Tongwen Chen,et al.  Event based agreement protocols for multi-agent networks , 2013, Autom..

[21]  Bin Xian,et al.  Nonlinear adaptive fault-tolerant control for a quadrotor UAV based on immersion and invariance methodology , 2017 .

[22]  Bingxian Mu,et al.  Cooperative control of quadrotors and mobile robots: controller design and experiments , 2017 .

[23]  Dong Yue,et al.  Coordinated attitude motion control of multiple rigid bodies on manifold SO(3) , 2013 .

[24]  Sonia Martínez,et al.  Distributed event-triggered communication for dynamic average consensus in networked systems , 2014, Autom..

[25]  Yisheng Zhong,et al.  Time-Varying Formation Control for Unmanned Aerial Vehicles: Theories and Applications , 2015, IEEE Transactions on Control Systems Technology.