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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
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Updated: Jan 6, 2026

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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Fault-Tolerant Control Redesign for Noisy High-Order Fully Actuated Systems.

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    This summary is machine-generated.

    This study introduces two fault-tolerant control (FTC) frameworks for high-order fully actuated systems (HOFASs). A novel FTC redesign effectively suppresses measurement noise and enhances fault compensation for improved system performance.

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    Area of Science:

    • Control Systems Engineering
    • Fault-Tolerant Control
    • System Dynamics

    Background:

    • High-order fully actuated systems (HOFASs) are susceptible to actuator faults, sensor faults, and measurement noise.
    • Existing fault-tolerant control (FTC) methods may have limitations in noise suppression and fault compensation accuracy.

    Purpose of the Study:

    • To develop and evaluate two novel FTC frameworks for HOFASs.
    • To address actuator faults, sensor faults, and measurement noise simultaneously.
    • To improve the performance and robustness of control systems.

    Main Methods:

    • Analysis of observable architectures for fault detection and isolation.
    • Compensation of actuator faults using fusion observers.
    • Rejection of sensor faults via redundant observability.
    • Application of a dead-zone fusion observation strategy for noise suppression.

    Main Results:

    • The first FTC framework achieves ultimately uniformly bounded (UUB) error systems.
    • The redesigned FTC framework with dead-zone fusion observation demonstrates superior noise suppression, particularly in linear HOFAS models.
    • Experimental validation confirms improved trajectory tracking and noise suppression capabilities.

    Conclusions:

    • The proposed FTC frameworks offer effective solutions for fault tolerance in HOFASs.
    • The novel FTC redesign significantly enhances measurement noise suppression.
    • The developed methods provide robust control performance in the presence of various system uncertainties.