Time-Varying Formation Tracking for UAV Swarm Systems With Switching Directed Topologies

Time-varying formation tracking (TVFT) control problems for a team of unmanned aerial vehicles (UAVs) with switching and directed interaction topologies are investigated, where the follower UAVs realize a given time-varying formation while tracking the leader UAV. A TVFT control protocol is firstly constructed utilizing local neighboring information, where the information of the leader UAV is only available to partial followers and the neighborhood can be switching. An algorithm composed of four steps is provided to design the TVFT protocol. It is proved that the UAV swarm system can realize the TVFT using the designed protocol if the dwell time for the switching directed topologies is larger than a fixed threshold and the TVFT feasibility condition is satisfied. Based on the ultrawideband positioning technology, a quadrotor UAV formation control platform with four quadrotor UAVs is given. The obtained theoretical results are applied to solve the target enclosing problems of the UAV swarm systems. A flying experiment for three follower quadrotor UAVs to enclose a leader quadrotor UAV is carried out to verify the effectiveness of the presented results.

[1]  Changyin Sun,et al.  Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances , 2019, IEEE Transactions on Cybernetics.

[2]  Yongduan Song,et al.  Distributed Adaptive Finite-Time Approach for Formation–Containment Control of Networked Nonlinear Systems Under Directed Topology , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Hao Liu,et al.  Guaranteed‐cost consensus for multiagent networks with Lipschitz nonlinear dynamics and switching topologies , 2018, ArXiv.

[4]  Changyin Sun,et al.  Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer , 2017, IEEE Transactions on Cybernetics.

[5]  Jinde Cao,et al.  Consensus for non-linear multi-agent systems modelled by PDEs based on spatial boundary communication , 2017 .

[6]  J. Santiaguillo-Salinas,et al.  Time-varying Formation Tracking with Collision Avoidance for Multi-agent Systems , 2017 .

[7]  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.

[8]  Yao Yu,et al.  Robust output containment control of multi-agent systems with unknown heterogeneous nonlinear uncertainties in directed networks , 2017, Int. J. Syst. Sci..

[9]  Jie Chen,et al.  Robust Consensus of Linear Feedback Protocols Over Uncertain Network Graphs , 2017, IEEE Transactions on Automatic Control.

[10]  Hamid Reza Karimi,et al.  Resilient Sampled-Data Control for Markovian Jump Systems With an Adaptive Fault-Tolerant Mechanism , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[11]  Zhang Ren,et al.  Formation tracking control for time-delayed multi-agent systems with second-order dynamics , 2017 .

[12]  Wei He,et al.  Vibration Control of a Flexible Robotic Manipulator in the Presence of Input Deadzone , 2017, IEEE Transactions on Industrial Informatics.

[13]  Maojiao Ye,et al.  Distributed Nash Equilibrium Seeking by a Consensus Based Approach , 2016, IEEE Transactions on Automatic Control.

[14]  Long Wang,et al.  Consensus of Hybrid Multi-Agent Systems , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[15]  Xiwang Dong,et al.  Formation and containment control for high-order linear swarm systems , 2015 .

[16]  Sung Jin Yoo,et al.  Distributed formation tracking of networked mobile robots under unknown slippage effects , 2015, Autom..

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

[18]  Yunhui Liu,et al.  Enclosing a target by nonholonomic mobile robots with bearing-only measurements , 2015, Autom..

[19]  Tingwen Huang,et al.  Second-Order Global Consensus in Multiagent Networks With Random Directional Link Failure , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[20]  Khashayar Khorasani,et al.  $H_{\infty}$ Consensus Achievement of Multi-Agent Systems With Directed and Switching Topology Networks , 2014, IEEE Transactions on Automatic Control.

[21]  Xinpeng Fang,et al.  Formation Optimization for AUV Localization With Range-Dependent Measurements Noise , 2014, IEEE Communications Letters.

[22]  Yisheng Zhong,et al.  Time-varying formation control for unmanned aerial vehicles with switching interaction topologies , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[23]  Hamid Reza Karimi,et al.  Robust Control of Stochastic Systems Against Bounded Disturbances With Application to Flight Control , 2014, IEEE Transactions on Industrial Electronics.

[24]  Hamid Reza Karimi,et al.  Attitude Stabilization Control of a Quadrotor UAV by Using Backstepping Approach , 2014 .

[25]  Baris Fidan,et al.  Distributed Cohesive Motion Control of Flight Vehicle Formations , 2013, IEEE Transactions on Industrial Electronics.

[26]  Hai Lin,et al.  Hybrid three-dimensional formation control for unmanned helicopters , 2013, Autom..

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

[28]  Ming Xin,et al.  Integrated Optimal Formation Control of Multiple Unmanned Aerial Vehicles , 2012, IEEE Transactions on Control Systems Technology.

[29]  Antonios Tsourdos,et al.  Consensus-based reconfigurable controller design for unmanned aerial vehicle formation flight , 2012 .

[30]  Sergiu-Dan Stan,et al.  A Novel Robust Decentralized Adaptive Fuzzy Control for Swarm Formation of Multiagent Systems , 2012, IEEE Transactions on Industrial Electronics.

[31]  Abdelkader Abdessameud,et al.  Formation control of VTOL Unmanned Aerial Vehicles with communication delays , 2011, Autom..

[32]  John T. Wen,et al.  Cooperative Load Transport: A Formation-Control Perspective , 2010, IEEE Transactions on Robotics.

[33]  Long Wang,et al.  Finite-time formation control for multi-agent systems , 2009, Autom..

[34]  Guangming Xie,et al.  Moving formation convergence of a group of mobile robots via decentralised information feedback , 2009, Int. J. Syst. Sci..

[35]  Randal W. Beard,et al.  Consensus seeking in multiagent systems under dynamically changing interaction topologies , 2005, IEEE Transactions on Automatic Control.

[36]  Robert M. Harlan,et al.  Creating emergent behaviors: two robotics labs that combine reactive behaviors , 2005, SIGCSE '05.

[37]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

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

[39]  Vijay Kumar,et al.  Controlling formations of multiple mobile robots , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[40]  Kar-Han Tan,et al.  High Precision Formation Control of Mobile Robots Using Virtual Structures , 1997, Auton. Robots.

[41]  Hamid Reza Karimi,et al.  Reliable Output Feedback Control of Discrete-Time Fuzzy Affine Systems With Actuator Faults , 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.

[42]  Xavier Bombois,et al.  Trajectory planning and trajectory tracking for a small-scale helicopter in autorotation , 2017 .

[43]  Yuxin Zhao,et al.  Convergence Analysis on Multi-AUV Systems With Leader-Follower Architecture , 2017, IEEE Access.

[44]  Shuang Zhang,et al.  Control Design for Nonlinear Flexible Wings of a Robotic Aircraft , 2017, IEEE Transactions on Control Systems Technology.

[45]  C. L. Philip Chen,et al.  Adaptive Position/Attitude Tracking Control of Aerial Robot With Unknown Inertial Matrix Based on a New Robust Neural Identifier , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[46]  Hamid Reza Karimi,et al.  Disturbance observer-based disturbance attenuation control for a class of stochastic systems , 2016, Autom..

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

[48]  Farzaneh Abdollahi,et al.  A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots , 2014, IEEE Transactions on Industrial Electronics.

[49]  Yacine Challal,et al.  Trajectory Tracking for a Group of Mini Rotorcraft Flying in Formation , 2011 .

[50]  M. Fujita,et al.  Control of Formations of UAVs for Surveillance and Reconnaissance Missions , 2008 .

[51]  W. Ren.  Consensus strategies for cooperative control of vehicle formations , 2007 .