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Related Experiment Video

Updated: May 26, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
15:25

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

Gain-scheduled complementary filter design for a MEMS based attitude and heading reference system.

Tae Suk Yoo1, Sung Kyung Hong, Hyok Min Yoon

  • 1Department of Aerospace Engineering, Sejong University, Seoul, Korea. 62187390@hanmail.net

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary

This study presents a robust algorithm for attitude and heading reference systems (AHRS) using MEMS sensors. The novel filter ensures reliable performance during high accelerations, outperforming conventional methods.

Keywords:
AHRScomplementary filtergain-schedulinginertial sensormagnetic sensor

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Area of Science:

  • Robotics and Control Systems
  • Sensor Fusion and Navigation

Background:

  • Attitude and heading reference systems (AHRS) are crucial for navigation and control.
  • Low-cost Micro-Electro-Mechanical Systems (MEMS) sensors offer a viable alternative for AHRS applications.
  • Robust performance during dynamic maneuvers remains a challenge for traditional AHRS algorithms.

Purpose of the Study:

  • To develop a simple and robust algorithm for MEMS-based AHRS.
  • To enhance AHRS performance under high acceleration conditions.
  • To evaluate the proposed algorithm against conventional methods.

Main Methods:

  • Implementation of a gain-scheduled complementary filter.
  • Integration of an acceleration-based switching architecture.
  • Validation through experimental road captive tests with high-acceleration dynamics.

Main Results:

  • The proposed gain-scheduled complementary filter demonstrated robust performance.
  • The acceleration-based switching architecture effectively mitigated errors during high accelerations.
  • Experimental results showed superior performance compared to a conventional linear complementary filter.

Conclusions:

  • The developed algorithm provides a robust and simple solution for MEMS-based AHRS.
  • The enhanced filter design is suitable for applications involving significant vehicle accelerations.
  • This approach offers improved accuracy and reliability for low-cost navigation systems.