Finite-Time Fault-Tolerant Consensus of UAVs: A Switching Event-Triggered Fuzzy Control Scheme
- 5 September 2024
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automation Science and Engineering
- Vol. 22 (15455955) , 6554-6568
Abstract
In finite-time consensus tracking (FCT) missions of unmanned aerial vehicles (UAVs), faults in aircraft actuators are crucial factors causing tracking precision degradation. In order to solve this problem, this paper develops a fuzzy fault-tolerant cooperative control scheme for UAVs to achieve FCT missions with predefined precision. Compared to existing results, the settling time formulation approach of consensus errors is significantly simplified, which facilitates operators to preset the settling time. Then a switching event-triggered mechanism is designed to flexibly change the transmission frequency of control signals, enabling the limited communication resources of UAVs to be reasonably consumed before and after the settling time. Based on the Lyapunov stability theory, it is proved that all signals of systems are bounded, and consensus errors can achieve prescribed precision in a finite time. Moreover, Zeno behavior is excluded. Finally, a simulation study demonstrates the efficiency and feasibility of the designed control scheme under various uncertainties. Note to Practitioners —In the existing FCT control schemes for UAVs, the formulation approaches of settling time depend on the structure of the communication network and the initial states of the aircraft, which hampers these schemes implemented in large-scale UAVs control tasks. How to effectively simplify the formulation approach of settling time has crucial practical significance and research value. In addition, since the communication bandwidth of UAVs is limited, the existing control strategies introduce event-triggered mechanisms to decrease the communication burden. However, adopting a single event-triggered mechanism cannot flexibly change the transmission frequency of control signals, which may make the limited communication resources fail to be reasonably consumed before and after the settling time. In order to solve the above problems, this paper develops a switching event-triggered FCT control scheme for UAVs, where the designed trigger mechanism can flexibly change the transmission frequency of control signals. Meanwhile, the settling time can be directly formulated following the wishes of operators.Keywords
Funding Information
- National Natural Science Foundation of China (62322307, 62073046)
- Central guiding local science and technology development special project of Sichuan (2021ZYD0015)
- Sichuan Province Natural Science Foundation of China (2022NSFSC0541, 2022NSFSC0875)
This publication has 38 references indexed in Scilit:
- Robustifying Payload Carrying Operations for Quadrotors Under Time-Varying State Constraints and UncertaintyIEEE Robotics and Automation Letters, 2022
- Distributed event triggering control for six-rotor UAV systems with asymmetric time-varying output constraintsScience China Information Sciences, 2021
- Distributed sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leaderAerospace Science and Technology, 2021
- Self-Triggered Based Coordinate Control With Low Communication for Tethered Multi-UAV Collaborative TransportationIEEE Robotics and Automation Letters, 2021
- Cascade structure predictive observer design for consensus control with applications to UAVs formation flyingAutomatica, 2020
- Finite time command filtered adaptive fault tolerant control for a class of uncertain nonlinear systemsAutomatica, 2019
- Event-triggered cooperative unscented Kalman filtering and its application in multi-UAV systemsAutomatica, 2019
- Semi-global robust tracking consensus for multi-agent uncertain systems with input saturation via metamorphic low-gain feedbackAutomatica, 2019
- Finite‐time fault‐tolerant formation control for multiquadrotor systems with actuator faultInternational Journal of Robust and Nonlinear Control, 2018
- Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear SystemsIEEE Transactions on Automatic Control, 2016