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Related Experiment Video

Updated: Dec 25, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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LED chip visual servo positioning control under variable system parameters using adaptive dual rate Kalman filter

Ziyue Wang1, Shihua Gong1, Delong Li1

  • 1State Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China.

ISA Transactions
|April 6, 2020
PubMed
Summary

This study presents a real-time visual positioning method for LED chips. It uses adaptive Kalman filters and recursive least squares to precisely estimate chip location despite changing manufacturing parameters.

Keywords:
Dual rate Kalman filterOnline parameter identificationVariable system parametersVisual servo positioning control

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Area of Science:

  • Robotics and Automation
  • Computer Vision
  • Manufacturing Engineering

Background:

  • Accurate LED chip positioning is critical for manufacturing quality.
  • Existing methods struggle with real-time adjustments to variable system parameters.
  • Image system delays and encoder measuring deviations hinder precise localization.

Purpose of the Study:

  • To develop a robust, real-time visual positioning method for LED chips.
  • To address challenges posed by system parameter variations during manufacturing.
  • To enhance the accuracy and adaptability of LED chip localization.

Main Methods:

  • An adaptive dual-rate Kalman filter was designed for real-time LED chip location estimation.
  • Sensitivity analysis was performed to understand parameter influence on estimation.
  • An adaptive recursive least squares algorithm was integrated for timely system parameter determination.

Main Results:

  • The proposed method achieves real-time and robust visual positioning of LED chips.
  • The integrated algorithms effectively compensate for system parameter variations.
  • Experimental verification confirmed acceptable positioning performance and adaptability.

Conclusions:

  • The developed visual positioning method ensures high quality for LED chips.
  • The approach successfully adapts to dynamic changes in system parameters.
  • This method offers a reliable solution for precise LED chip placement in manufacturing.