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Related Experiment Video

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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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Performance-Based Hierarchical Fault-Tolerant Control for Closed-Loop Systems With Multiplicative Faults: A

Ruijie Liu, Engang Tian, Ying Yang

IEEE Transactions on Cybernetics

|May 22, 2024

Summary

This study introduces a data-driven fault-tolerant control (FTC) strategy for closed-loop systems with multiplicative faults. It enhances system reliability by detecting, estimating, and compensating for faults based on performance indices.

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Area of Science:

Control Engineering
System Reliability
Data-Driven Methods

Background:

Fault-tolerant control (FTC) is crucial for automatic systems.
Existing FTC methods often overlook multiplicative faults and closed-loop dynamics.
Complex system modeling poses significant challenges for traditional FTC.

Purpose of the Study:

To develop a performance-based FTC strategy for closed-loop systems with multiplicative faults.
To address the limitations of existing FTC methods in handling complex systems and fault types.
To enable data-driven implementation of FTC, reducing reliance on precise system models.

Main Methods:

A nominal controller is designed for fault-free systems.
Performance evaluators are constructed to detect and classify multiplicative faults using stability and tracking indices.
Coprime factorization and closed-loop data are used for fault estimation.
A hierarchical controller is developed for fault compensation based on performance degradation levels.

Main Results:

The proposed FTC strategy effectively detects, classifies, and estimates multiplicative faults in closed-loop systems.
The data-driven approach bypasses the need for complex system modeling.
Case studies demonstrate the successful validation of the developed fault-tolerant tracking controller.

Conclusions:

The presented performance-based FTC strategy offers a robust solution for closed-loop systems with multiplicative faults.
The data-driven methodology enhances the practicality and applicability of FTC in complex industrial systems.
The hierarchical controller ensures reliable system operation despite performance degradations caused by faults.