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Related Concept Videos

Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

169
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
169
Time and frequency -Domain Interpretation of Phase-lead Control01:24

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Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
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Time and frequency -Domain Interpretation of Phase-lag Control01:21

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90
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.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
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Updated: Jun 29, 2025

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Single-step phase identification and phase locking for coherent beam combination using deep learning.

Yunhui Xie1, Fedor Chernikov2, Ben Mills2

  • 1Optoelectronics Research Centre, University of Southampton, Southampton, UK. yunhui.xie@soton.ac.uk.

Scientific Reports
|March 30, 2024
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Summary
This summary is machine-generated.

This study demonstrates real-time coherent beam combination using deep learning to control fiber laser phase offsets. This method enables precise control for high-power laser systems and advanced beam shaping.

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Area of Science:

  • Optics and Photonics
  • Laser Physics
  • Artificial Intelligence

Background:

  • Coherent beam combination is crucial for high-power fiber lasers, but precise phase control is challenging due to unavailable phase information and system noise.
  • Individual fiber power limitations necessitate combining multiple beams, requiring accurate phase alignment for optimal intensity profiles.
  • Existing methods struggle with real-time correction of continuously varying phase noise in fiber laser systems.

Purpose of the Study:

  • To develop a real-time method for precise phase control in multi-beam coherent fiber laser combination.
  • To utilize deep learning for identifying and correcting phase offsets directly from the combined intensity pattern.
  • To demonstrate simultaneous beam combination and beam shaping capabilities.

Main Methods:

  • Implementation of a seven-beam fiber laser system utilizing a spatial light modulator for phase control.
  • Application of a deep learning agent to analyze the combined intensity profile and determine relative phase offsets.
  • Real-time feedback loop for phase correction based on deep learning outputs.

Main Results:

  • Successful demonstration of coherent combination in a seven-beam system using deep learning for phase offset identification.
  • Real-time correction of phase noise achieved, enabling stable and optimal beam combination.
  • Deep learning agent successfully calculated phase corrections for user-specified target intensity profiles, achieving beam shaping.

Conclusions:

  • Deep learning provides an effective solution for real-time phase control in coherent beam combination of fiber lasers.
  • The developed method overcomes challenges of phase information acquisition and dynamic phase noise.
  • This approach enables advanced functionalities like simultaneous beam combination and precise beam shaping for high-power laser applications.