A Distributed Fault Diagnosis and Cooperative Fault-Tolerant Control Design Framework for Distributed Interconnected
Xue Li1, Zhikang Fan1, Shengfeng Wang1
1School of Electrical Engineering, Nantong University, Nantong 226019, China.
This study presents a fault diagnosis and cooperative fault-tolerant control framework for distributed systems. The method ensures system stability through adaptive fault estimation and compensation, validated in intelligent vehicle platoons.
Area of Science:
- Control Engineering
- Systems Science
- Artificial Intelligence
Background:
- Distributed interconnected systems are susceptible to component failures, compromising overall performance and safety.
- Existing fault-tolerant control strategies often lack robustness or efficient fault localization in complex networks.
Purpose of the Study:
- To develop a unified design framework for fault diagnosis and cooperative fault-tolerant control in distributed interconnected systems.
- To enhance system resilience and maintain stability despite component faults.
Main Methods:
- Design of fault detection and isolation observers for subsystems.
- Utilization of adaptive fault estimation techniques for accurate fault localization.
- Implementation of a cooperative fault-tolerant control unit with state feedback and compensation.
Main Results:
- Successful detection and isolation of faults in interconnected subsystems.
- Demonstrated compensation of residuals using fault estimation information.
- Preservation of overall system stability through the cooperative fault-tolerant control strategy.
Conclusions:
- The proposed framework effectively integrates fault diagnosis and fault-tolerant control for distributed systems.
- The adaptive fault estimation and cooperative control approach ensures system robustness and stability.
- The framework's applicability is validated through simulations of intelligent unmanned vehicle platooning.
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