Article
Open Access
Cooperative adaptive fault-tolerant control for heterogeneous multiagent systems with guaranteed performance
1 College of Electrical Engineering, Anhui Polytechnic University
2 College of Information Engineering, Zhejiang University of Technology
3 School of Mechatronic Engineering and Automation, Shanghai University
4 College of Computer Science and Technology, Zhejiang University
  • Volume
  • Citation
    Gong J, Wang X, Li Y, Lyu D. Cooperative adaptive fault-tolerant control for heterogeneous multiagent systems with guaranteed performance. Artif. Intell. Auton. Syst. 2024(2):0005, https://doi.org/10.55092/aias20240005. 
  • DOI
    10.55092/aias20240005
  • Copyright
    Copyright2024 by the authors. Published by ELSP.
Abstract

This paper studies the fault-tolerant control problem for the heterogeneous multiagen systems consisting of multiple quadrotors and mobile robots with guaranteed performance in the presence of unknown actuator faults. First, the full-state performance constraints of the position and attitude subsystem of follower vehicles are considered, especially in the case of actuator faults, and then the state constraints of heterogeneous unmanned systems are addressed by combining the performance functions and barrier Lyapunov function method. Then, the constraints-based cooperative adaptive fault-tolerant control strategy is proposed, where the adaptive terms are adopted to compensate for the unknown bounded actuator loss of effectiveness faults and bias faults and the constraint signals are introduced to ensure the performance conditions of system states. Based on the theoretical analysis, the cooperative fault-tolerant time-varying formation convergence performance is discussed. The simulation results on the UAVs-UGVs formation systems composed of quadrotors and mobile robots are presented to validate the effectiveness of the proposed control strategy.

Keywords

fault-tolerant control; adaptive control; heterogeneous miltiagent systems; actuator fault; performance constraint

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