Robust fault-tolerant preview control of linear parameter-varying discrete-time systems

This study presents a new fault-tolerant preview tracking control (FTPTC) method using linear fractional representation (LFR) with regard to discrete-time linear parameter-varying (LPV) systems. To achieve preview tracking performance, a design strategy for a stable controller with integral, fault estimation, and preview actions is adopted. First, a fault estimation methodology for an LPV/LFR system with an actuator failure and external interference is developed utilizing the state observer approach. Next, based on the obtained fault estimation information, an equivalent augmented model including future information on reference signals, is developed, which converts preview tracking control (PTC) problem to a stabilization problem. Less conservative stability conditions for LPV have developed. Lastly, we performed two instances to validate the efficiency of the control approach that was proposed.

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Publication Details

Journal
Journal of Vibration and Control
Published
2024-08-29
DOI
https://doi.org/10.1177/10775463241271779
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Robust fault-tolerant preview control of linear parameter-varying discrete-time systems

Jia Chen, Li Li
1 citations
Journal of Vibration and Control
Advanced Control Systems Optimization
0.33
article

Robust fault-tolerant preview control of linear parameter-varying discrete-time systems

Jia Chen, Li Li
article en
1 citations

Abstract

This study presents a new fault-tolerant preview tracking control (FTPTC) method using linear fractional representation (LFR) with regard to discrete-time linear parameter-varying (LPV) systems. To achieve preview tracking performance, a design strategy for a stable controller with integral, fault estimation, and preview actions is adopted. First, a fault estimation methodology for an LPV/LFR system with an actuator failure and external interference is developed utilizing the state observer approach. Next, based on the obtained fault estimation information, an equivalent augmented model including future information on reference signals, is developed, which converts preview tracking control (PTC) problem to a stabilization problem. Less conservative stability conditions for LPV have developed. Lastly, we performed two instances to validate the efficiency of the control approach that was proposed.

Journal of Vibration and ControlVol. 31(17-18)
Taiyuan Normal University (CN), Hubei University Of Economics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 43%
Advanced Control Systems Optimization
0.33
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Robust fault-tolerant preview control of linear parameter-varying discrete-time systems — Jia Chen, Li Li · Journal of Vibration and Control (2024) | TGRS Research Map | TGRS