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

Instrument Calibration01:12

Instrument Calibration

237
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
237
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

620
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
620
Open and closed-loop control systems01:17

Open and closed-loop control systems

900
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
900

You might also read

Related Articles

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

Sort by
Same author

PTTG1 regulated by miR-146a-3p promotes bladder cancer migration, invasion, metastasis and growth.

Oncotarget·2016
Same author

Monoacylglycerol lipase promotes progression of hepatocellular carcinoma via NF-κB-mediated epithelial-mesenchymal transition.

Journal of hematology & oncology·2016
Same author

Epitaxial nucleation of CVD bilayer graphene on copper.

Nanoscale·2016
Same author

Metabolic Engineering of Raoultella ornithinolytica BF60 for Production of 2,5-Furandicarboxylic Acid from 5-Hydroxymethylfurfural.

Applied and environmental microbiology·2016
Same author

Enhanced extracellular production of L-asparaginase from Bacillus subtilis 168 by B. subtilis WB600 through a combined strategy.

Applied microbiology and biotechnology·2016
Same author

Improving the active expression of transglutaminase in Streptomyces lividans by promoter engineering and codon optimization.

BMC biotechnology·2016

Related Experiment Video

Updated: Aug 16, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.0K

Self-Test and Self-Calibration of Digital Closed-Loop Accelerometers.

Zhiyuan Sun1,2, Miao Wang3

  • 1Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China .

Sensors (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

This study introduces a new self-test and calibration method to eliminate DC bias error in digital closed-loop accelerometers. The technique effectively reduces system DC bias error, enhancing precision in inertial navigation systems.

Keywords:
MEMS accelerometerdigital self-calibrationdigital self-testelectromechanical ΣΔ

More Related Videos

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K
A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.3K

Related Experiment Videos

Last Updated: Aug 16, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.0K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K
A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.3K

Area of Science:

  • * Electrical Engineering
  • * Mechanical Engineering
  • * Sensor Technology

Background:

  • * DC bias error is a critical system error in accelerometers used for inertial navigation, significantly impacting long-term dead reckoning precision.
  • * Existing methods for mitigating DC bias error in digital closed-loop accelerometers are limited.

Purpose of the Study:

  • * To propose and validate a novel self-test and self-calibration technique for canceling DC bias error in digital closed-loop accelerometers.
  • * To establish a method for dynamically calibrating DC bias error by addressing servo position deviation in MEMS sensing elements.

Main Methods:

  • * Implementation of a self-test mechanism using 1-Bit Sigma-Delta (ΣΔ) modulated digital excitation.
  • * Measurement of second-order harmonic distortion to assess system DC bias.
  • * Automatic capacitance compensation based on the amplitude and phase of the detected second-order harmonic distortion.

Main Results:

  • * A near-linear relationship was demonstrated between system DC bias error and second-order harmonic distortion, aligning with theoretical predictions.
  • * The proposed method effectively reduced system DC bias error from 150 mg to 4 mg.
  • * The technique proved robust against external acceleration bias.

Conclusions:

  • * The novel self-test and self-calibration technique successfully mitigates DC bias error in digital closed-loop accelerometers.
  • * The method enhances the precision of inertial navigation systems by reducing a key error source.
  • * The dynamic calibration approach offers improved performance and reliability for accelerometer systems.