Content area
This paper introduces a novel observer-based, fully distributed fault-tolerant consensus control algorithm for model-free adaptive control, specifically designed to tackle the consensus problem in nonlinear multi-agent systems. The method addresses the issue of followers lacking direct access to the leader’s state by employing a distributed observer that estimates the leader’s state using only local information from the agents. This transforms the consensus control challenge into multiple independent tracking tasks, where each agent can independently follow the leader’s trajectory. Additionally, an extended state observer based on a data-driven model is utilized to estimate unknown actuator faults, with a particular focus on brake faults. Integrated into the model-free adaptive control framework, this observer enables real-time fault detection and compensation. The proposed algorithm is supported by rigorous theoretical analysis, which ensures the boundedness of both the observer and tracking errors. Simulation results further validate the algorithm’s effectiveness, demonstrating its robustness and practical viability in real-time fault-tolerant control applications.
Details
Control algorithms;
Communication;
Estimates;
Fault tolerance;
Controllers;
Distributed control systems;
Design;
Adaptive control;
Explicit knowledge;
Multiagent systems;
Systems stability;
Nonlinear systems;
Nonlinear control;
Real time;
Fault detection;
Tracking errors;
Actuators;
State observers;
Adaptive algorithms
; Li Dongnan 2 ; Li, Yunlong 3 ; Gong Dawei 4 ; Chen Jiaoyuan 1 ; Song, Shijie 5
; Zhu Minglei 5
1 School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2 Heilongjiang Provincial Climate Center, Harbin 150030, China
3 The Third Military Representative Office of the Air Force Armaments Department in Harbin, Harbin 150010, China
4 School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China, School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu 610106, China
5 Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu 614202, China