4.6 Article

A Distributed Fault Diagnosis and Cooperative Fault-Tolerant Control Design Framework for Distributed Interconnected Systems

Journal

SENSORS
Volume 22, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/s22072480

Keywords

distributed fault diagnosis; fault isolation; cooperative fault-tolerant control; distributed interconnected systems

Funding

  1. National Natural Science Foundation of China [61473159, U2066203]
  2. Six Talent Peaks Project in Jiangsu Province, China [XYDXX-091]
  3. Key Program of Science and Technology of Nantong [MS22020030, MS22020022]
  4. Natural Science Research Program of Jiangsu Colleges and Universities [20KJA470002]

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This paper investigates a design framework for a class of distributed interconnected systems, where fault diagnosis and cooperative fault-tolerant control schemes are included. It proposes the use of fault detection observers and fault isolation observers to detect and locate faults in the subsystems. The paper also introduces a cooperative fault-tolerant control unit for system stability. The proposed design framework is demonstrated through simulation of an intelligent unmanned vehicle platooning scenario.
This paper investigates a design framework for a class of distributed interconnected systems, where a fault diagnosis scheme and a cooperative fault-tolerant control scheme are included. First of all, fault detection observers are designed for the interconnected subsystems, and the detection results will be spread to all subsystems in the form of a broadcast. Then, to locate the faulty subsystem accurately, fault isolation observers are further designed for the alarming subsystems in turn with the aid of an adaptive fault estimation technique. Based on this, the fault estimation information is used to compensate for the residuals, and then isolation decision logic is conducted. Moreover, the cooperative fault-tolerant control unit, where state feedback and cooperative compensation are both utilized, is introduced to ensure the stability of the whole system. Finally, the simulation of intelligent unmanned vehicle platooning is adopted to demonstrate the applicability and effectiveness of the proposed design framework.

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