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Related Concept Videos

Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

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Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
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Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
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Compensation of laser source frequency drift in Φ-OTDR system using inter-pulse difference.

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    This study introduces a multi-frequency inter-pulse differencing method to eliminate phase drift in distributed acoustic sensing (DAS) systems. The novel approach significantly improves detection performance in the sub-hertz frequency band.

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    Area of Science:

    • Optoelectronics
    • Signal Processing
    • Sensing Technology

    Background:

    • Distributed acoustic sensing (DAS) systems using coherent optical time-domain reflectometry (COTDR) offer advantages but suffer from phase drift caused by narrow-linewidth lasers.
    • This frequency drift degrades detection performance, particularly in the sub-hertz frequency band.

    Purpose of the Study:

    • To propose and validate a novel method for eliminating phase drift in COTDR-based DAS systems.
    • To enhance the detection performance of DAS systems in low-frequency bands.

    Main Methods:

    • Implementation of an inter-pulse differencing technique utilizing multiple pulses with different central frequencies.
    • Exploitation of the spatial difference in beat signals to isolate vibration information and suppress frequency drift.

    Main Results:

    • Noise near zero frequency reduced by over 20 dB.
    • Signal-to-noise ratio (SNR) for 1.0 Hz vibration signals improved by approximately 10 dB.
    • Successful recovery of 0.1 Hz vibration signal waveforms with an SNR above 30 dB.

    Conclusions:

    • The proposed multi-frequency inter-pulse differencing method effectively eliminates phase drift in DAS systems.
    • The technique significantly enhances low-frequency vibration detection reliability and performance.
    • This method offers a reliable solution for improving DAS system accuracy in sensitive applications.