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Adaptive Sensor Fault-Tolerant Control for Distributed Parameter Systems.

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    Sensor drift degrades controller performance. This study introduces a proactive fault-tolerant control strategy using adaptive observers and joint estimators to detect and correct sensor drift in distributed parameter systems, ensuring stability.

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    Area of Science:

    • Control Engineering
    • System Dynamics
    • Fault Detection and Diagnosis

    Background:

    • Sensor drift, a gradual deviation in measurements, can lead to controller malfunction and system instability.
    • Distributed parameter systems are susceptible to sensor drift, impacting their performance and reliability.

    Purpose of the Study:

    • To develop a proactive fault-tolerant control strategy for distributed parameter systems.
    • To accurately detect and compensate for sensor drift to maintain system stability and performance.

    Main Methods:

    • A time-varying spatiotemporal model was developed to represent system dynamics.
    • An adaptive observer-based detector was designed for precise temporal and spatial fault localization.
    • A joint state-and-fault estimator was implemented for accurate fault profile reconstruction, even with state-fault coupling.

    Main Results:

    • The proposed strategy effectively identifies the location and profile of sensor drift.
    • Real-time controller corrections were implemented based on estimation results.
    • Experimental validation demonstrated the controller's effectiveness in two fault scenarios.

    Conclusions:

    • The developed fault-tolerant control strategy successfully addresses sensor drift in distributed parameter systems.
    • The approach ensures system stability and robust performance under fault conditions.