Fault-Tolerant Control for a Class of 1-D Systems with Unknown Input Powers and Measurement Drifts

This article considers a fault-tolerant control problem for a class of 1-D systems with unknown input powers, actuator failure and measurement drifts. Unlike most current systems where the input power is one or known, the unknown input powers is considered in this article. Based on Lyapunov stability theory, two kinds of controllers are designed, which are suitable for the two cases of whether the system has measurement drift or not. Under the control strategy proposed in this article, the closed-loop system is asymptotically bounded, and all the signals in the system converge to a small neighborhood of the origin. Finally, two numerical examples are given to verify the effectiveness of the control strategy.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/rcae62637.2024.10834171
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Fault-Tolerant Control for a Class of 1-D Systems with Unknown Input Powers and Measurement Drifts

Qikun Shen, Chengjun Ma
Advanced Data Processing Techniques
article

Fault-Tolerant Control for a Class of 1-D Systems with Unknown Input Powers and Measurement Drifts

Qikun Shen, Chengjun Ma
article en

Abstract

This article considers a fault-tolerant control problem for a class of 1-D systems with unknown input powers, actuator failure and measurement drifts. Unlike most current systems where the input power is one or known, the unknown input powers is considered in this article. Based on Lyapunov stability theory, two kinds of controllers are designed, which are suitable for the two cases of whether the system has measurement drift or not. Under the control strategy proposed in this article, the closed-loop system is asymptotically bounded, and all the signals in the system converge to a small neighborhood of the origin. Finally, two numerical examples are given to verify the effectiveness of the control strategy.

Yangzhou University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 69%
Advanced Data Processing Techniques
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