Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

86
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...
86
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

172
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...
172
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

99
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...
99
Directional Relays01:25

Directional Relays

118
Directional relays, essential for managing unidirectional fault currents, enhance the safety and efficiency of power systems. On power lines equipped with directional relays, faults downstream (to the right) of the current transformer typically cause the fault current to lag the bus voltage by approximately 90 degrees, known as the forward direction. In contrast, upstream (left-side) faults may result in the fault current leading the bus voltage by nearly 90 degrees, termed the reverse...
118
Design Example01:23

Design Example

331
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
331
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

82
Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
Under normal conditions, low load currents keep the measured...
82

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Research on High-Precision Resonant Capacitance Bridge Based on Multiple Transformers.

Sensors (Basel, Switzerland)·2024
Same author

Design of High-Precision Driving Control System for Charge Management.

Sensors (Basel, Switzerland)·2024
Same author

Research and Optimization of High-Performance Front-End Circuit Noise for Inertial Sensors.

Sensors (Basel, Switzerland)·2024
Same author

High-Precision Inertial Sensor Charge Ground Measurement Method Based on Phase-Sensitive Demodulation.

Sensors (Basel, Switzerland)·2024
Same author

High-Precision Inertial Sensor Charge Management Based on Ultraviolet Discharge: A Comprehensive Review.

Sensors (Basel, Switzerland)·2023
Same author

Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jul 10, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.4K

Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments.

Ke Xue1, Tao Yu1, Yanlin Sui1

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
Summary

This study introduces a novel method for precise phase alignment in capacitance sensors used in gravitational wave detection. The technique ensures accurate signal extraction from dynamic test mass movements, crucial for mission success.

Keywords:
capacitive sensinginertial sensorsphase alignment

More Related Videos

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

10
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

9.9K

Related Experiment Videos

Last Updated: Jul 10, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.4K
High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

10
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

9.9K

Area of Science:

  • Space physics
  • Gravitational wave detection
  • Sensor technology

Background:

  • Capacitance sensors are critical inertial sensors for space-based gravitational wave missions, providing an inertial reference.
  • These sensors measure test mass (TM) position using AC induction and synchronous demodulation, but dynamic TM movement complicates phase alignment.

Purpose of the Study:

  • To develop and implement a method for achieving precise phase alignment of demodulation switch signals in dynamic environments for capacitance sensors.
  • To address the challenges posed by the suspended state of the test mass in gravitational wave detection missions.

Main Methods:

  • A novel method involving adjusting the demodulation switch signal phase and computing the phase difference with the AC induction signal was proposed.
  • A measurement and evaluation method for phase deviation was developed.
  • An automatic phase alignment system was implemented on an FPGA platform and tested on a hexapod PI console platform.

Main Results:

  • The system achieved accurate phase alignment in static environments with a phase deviation of 0.1394 radians.
  • In simulated dynamic environments, the system maintained accurate phase alignment with a phase deviation of 0.1395 radians.

Conclusions:

  • The developed automatic phase alignment system effectively addresses the challenges of dynamic environments in capacitance sensors for gravitational wave detection.
  • The system demonstrates high accuracy and robustness, ensuring reliable performance for inertial sensing in space missions.