Distributed Finite-Time Fault-Tolerant Containment Control for Multiple Unmanned Aerial Vehicles

This paper investigates the distributed finite-time fault-tolerant containment control problem for multiple unmanned aerial vehicles (multi-UAVs) in the presence of actuator faults and input saturation. The distributed finite-time sliding-mode observer (SMO) is first developed to estimate the reference for each follower UAV. Then, based on the estimated knowledge, the distributed finite-time fault-tolerant controller is recursively designed to guide all follower UAVs into the convex hull spanned by the trajectories of leader UAVs with the help of a new set of error variables. Moreover, the unknown nonlinearities inherent in the multi-UAVs system, computational burden, and input saturation are simultaneously handled by utilizing neural network (NN), minimum parameter learning of NN (MPLNN), first-order sliding-mode differentiator (FOSMD) techniques, and a group of auxiliary systems. Furthermore, the graph theory and Lyapunov stability analysis methods are adopted to guarantee that all follower UAVs can converge to the convex hull spanned by the leader UAVs even in the event of actuator faults. Finally, extensive comparative simulations have been conducted to demonstrate the effectiveness of the proposed control scheme.

[1]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[2]  Haibin Duan,et al.  Multiple UAV distributed close formation control based on in-flight leadership hierarchies of pigeon flocks , 2017 .

[3]  An-Min Zou,et al.  Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[4]  Donghua Zhou,et al.  Fault Tolerant Formations Control of UAVs Subject to Permanent and Intermittent Faults , 2014, J. Intell. Robotic Syst..

[5]  Yongduan Song,et al.  Computationally inexpensive fault tolerant control of uncertain non-linear systems with non-smooth asymmetric input saturation and undetectable actuation failures , 2016 .

[6]  Yongduan Song,et al.  Neuroadaptive Cooperative Control Without Velocity Measurement for Multiple Humanoid Robots Under Full-State Constraints , 2019, IEEE Transactions on Industrial Electronics.

[7]  Ziyang Meng,et al.  Distributed finite-time attitude containment control for multiple rigid bodies , 2010, Autom..

[8]  Min Tan,et al.  Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach , 2008, IEEE Transactions on Fuzzy Systems.

[9]  Zhongke Shi,et al.  DOB-Based Neural Control of Flexible Hypersonic Flight Vehicle Considering Wind Effects , 2017, IEEE Transactions on Industrial Electronics.

[10]  Wen-Hua Chen,et al.  Disturbance Rejection Flight Control for Small Fixed-Wing Unmanned Aerial Vehicles , 2016 .

[11]  Qingling Zhang,et al.  Output feedback adaptive sensor failure compensation for a class of parametric strict feedback systems , 2018, Autom..

[12]  Shihua Li,et al.  Finite-Time Attitude Stabilization for a Spacecraft Using Homogeneous Method , 2012 .

[13]  Youmin Zhang,et al.  Fault‐tolerant formation control of multiple UAVs in the presence of actuator faults , 2016 .

[14]  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.

[15]  Jianmei Song,et al.  Distributed formation flight control of multi-UAV system with nonuniform time-delays and jointly connected topologies , 2016 .

[16]  Jovan D. Boskovic,et al.  Robust Integrated Flight Control Design Under Failures, Damage, and State-Dependent Disturbances , 2005 .

[17]  Jiang-Wen Xiao,et al.  Three-dimensional containment control for multiple unmanned aerial vehicles , 2016, J. Frankl. Inst..

[18]  Yaohong Qu,et al.  Fault-Tolerant Containment Control of Multiple Unmanned Aerial Vehicles Based on Distributed Sliding-Mode Observer , 2019, J. Intell. Robotic Syst..

[19]  Yongduan Song,et al.  Prescribed Performance Control of Uncertain Euler–Lagrange Systems Subject to Full-State Constraints , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[20]  Hyunuk Ha,et al.  Fuzzy Finite-Time Dynamic Surface Control for Nonlinear Large-Scale Systems , 2016, Int. J. Fuzzy Syst..

[21]  Yongduan Song,et al.  Fraction Dynamic-Surface-Based Neuroadaptive Finite-Time Containment Control of Multiagent Systems in Nonaffine Pure-Feedback Form , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[22]  Bin Jiang,et al.  Fault tolerant cooperative control for multiple unmanned aerial vehicle systems with plugging operations , 2016, J. Syst. Control. Eng..

[23]  Zhihong Man,et al.  Terminal sliding mode observers for a class of nonlinear systems , 2010, Autom..

[24]  Shuzhi Sam Ge,et al.  Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints , 2011, Autom..

[25]  Chenguang Yang,et al.  Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[26]  J.K. Hedrick,et al.  An overview of emerging results in cooperative UAV control , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[27]  Hongjing Liang,et al.  Adaptive Dynamic Surface Control Design for Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Direction and Disturbances , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[28]  Zhong-Ping Jiang,et al.  A Distributed Control Approach to A Robust Output Regulation Problem for Multi-Agent Linear Systems , 2010, IEEE Transactions on Automatic Control.

[29]  S. Bhat,et al.  Continuous finite-time stabilization of the translational and rotational double integrators , 1998, IEEE Trans. Autom. Control..

[30]  Zhihong Man,et al.  Continuous finite-time control for robotic manipulators with terminal sliding mode , 2003, Autom..

[31]  Jiang-Wen Xiao,et al.  Distributed Three‐Dimensional Formation Containment Control of Multiple Unmanned Aerial Vehicle Systems , 2017 .

[32]  Yigang He,et al.  Distributed Finite-Time Cooperative Control of Multiple High-Order Nonholonomic Mobile Robots , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[33]  Qingling Zhang,et al.  A linear switching function approach to sliding mode control and observation of descriptor systems , 2018, Autom..

[34]  Yan Lin,et al.  Distributed output-feedback formation tracking control for unmanned aerial vehicles , 2016, Int. J. Syst. Sci..

[35]  Gang Sun,et al.  Distributed Neural Network Control for Adaptive Synchronization of Uncertain Dynamical Multiagent Systems , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[36]  Youmin Zhang,et al.  A Fast U-d Factorization-based Learning Algorithm with Applications to Nonlinear System Modeling and Identification , 2022 .

[37]  Youmin Zhang,et al.  A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques , 2015 .

[38]  Yongduan Song,et al.  Neuroadaptive Robotic Control Under Time-Varying Asymmetric Motion Constraints: A Feasibility-Condition-Free Approach , 2020, IEEE Transactions on Cybernetics.

[39]  Renquan Lu,et al.  Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[40]  Bin Xu,et al.  Robust adaptive neural control of flexible hypersonic flight vehicle with dead-zone input nonlinearity , 2015 .

[41]  Heng Wang,et al.  Fault Detection for a Class of Uncertain State-Feedback Control Systems , 2010, IEEE Transactions on Control Systems Technology.

[42]  Haibin Duan,et al.  Distributed UAV flocking control based on homing pigeon hierarchical strategies , 2017 .

[43]  Shaocheng Tong,et al.  Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints , 2018, Autom..

[44]  Zhixiang Liu,et al.  Fault-Tolerant Flight Control Design With Finite-Time Adaptation Under Actuator Stuck Failures , 2017, IEEE Transactions on Control Systems Technology.

[45]  Xin Wang,et al.  Distributed fault-tolerant control for a class of cooperative uncertain systems with actuator failures and switching topologies , 2016, Inf. Sci..

[46]  YangQuan Chen,et al.  Title : Aerial Surveillance System for Overhead Power Line Inspection , 2004 .

[47]  Swaroop Darbha,et al.  Dynamic surface control for a class of nonlinear systems , 2000, IEEE Trans. Autom. Control..

[48]  Sergio Montenegro,et al.  A Review on Distributed Control of Cooperating Mini UAVS , 2014 .

[49]  Shengyuan Xu,et al.  Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements , 2012, IEEE Transactions on Automatic Control.

[50]  Agathoniki Trigoni,et al.  Supporting Search and Rescue Operations with UAVs , 2010, 2010 International Conference on Emerging Security Technologies.

[51]  Antonios Tsourdos,et al.  Collision Avoidance Strategies for Unmanned Aerial Vehicles in Formation Flight , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[52]  Yongduan Song,et al.  Neuroadaptive Fault-Tolerant Control of Nonlinear Systems Under Output Constraints and Actuation Faults , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[53]  Xiangyu Wang,et al.  Finite-time consensus and collision avoidance control algorithms for multiple AUVs , 2013, Autom..

[54]  Jianliang Wang,et al.  Distributed Formation and Reconfiguration Control of VTOL UAVs , 2017, IEEE Transactions on Control Systems Technology.

[55]  Yaohong Qu,et al.  Distributed Fault-Tolerant Cooperative Control for Multi-UAVs Under Actuator Fault and Input Saturation , 2019, IEEE Transactions on Control Systems Technology.

[56]  Bing Li,et al.  Distributed Containment Control for Multiple Unknown Second-Order Nonlinear Systems With Application to Networked Lagrangian Systems , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[57]  Xiangyu Wang,et al.  Composite Finite-Time Containment Control for Disturbed Second-Order Multi-agent Systems , 2016 .

[58]  Shuzhi Sam Ge,et al.  Distributed Attitude Coordinated Control of Multiple Spacecraft With Attitude Constraints , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[59]  Ziyang Meng,et al.  Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking , 2010, Syst. Control. Lett..

[60]  Dan Wang,et al.  Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form , 2002, Autom..

[61]  Youmin Zhang,et al.  Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects , 2015 .