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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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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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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.
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Frequency-Domain Interpretation of PD Control01:24

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Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
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Linear Approximation in Frequency Domain01:26

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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Frequency Modulation Control of an FMCW LiDAR Using a Frequency-to-Voltage Converter.

Jubong Lee1, Jinseo Hong1, Kyihwan Park1

  • 1Department of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), 123, Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Republic of Korea.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces linear frequency modulation control for frequency-modulated continuous-wave light detection and ranging (FMCW LiDAR) sensors. The proposed method significantly enhances distance measurement accuracy by ensuring precise frequency modulation, improving sensor performance.

Keywords:
frequency controlfrequency-modulated continuous-wave (FMCW) LiDARrange finding

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Area of Science:

  • Optical Engineering
  • Sensor Technology
  • Metrology

Background:

  • Frequency-modulated continuous-wave light detection and ranging (FMCW LiDAR) offers robust distance measurement.
  • Accurate distance readings depend on linear frequency modulation of the reference beam.
  • Non-linear modulation leads to significant inaccuracies in FMCW LiDAR systems.

Purpose of the Study:

  • To propose and validate a linear frequency modulation control method for FMCW LiDAR.
  • To enhance the distance measurement accuracy of FMCW LiDAR sensors.
  • To improve the control speed and frequency accuracy of FMCW LiDAR systems.

Main Methods:

  • Implementation of linear frequency modulation control using frequency detection.
  • Utilizing the frequency to voltage converting (FVC) method for high-speed frequency measurement.
  • Experimental validation of the proposed control strategy.

Main Results:

  • The proposed linear frequency modulation control significantly improves FMCW LiDAR distance accuracy.
  • The frequency to voltage converting (FVC) method enables high-speed frequency modulation control.
  • Experimental results demonstrate enhanced control speed and frequency accuracy.

Conclusions:

  • Linear frequency modulation control is crucial for accurate FMCW LiDAR distance measurement.
  • The FVC method provides an effective solution for high-speed, accurate frequency control in FMCW LiDAR.
  • This advancement enhances the overall performance and reliability of FMCW LiDAR sensors.