Robust estimation design of MEMS-based integration inertial navigation systems

Yung Yue Chen, Shyang Jye Chang, Ren An Yu, Chiung Yau Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

An investigation about the robust estimation of the INS (inertial navigation system) that is mainly integrated by MEMS-based micro inertial devices (accelerometer and gyroscope) is presented in this study. The robust estimator of INS includes two parts: a regression form fuzzy system that is adopted to approximate the unknown acceleration and angular rate commands come respectively from the MEMS-based accelerometer and gyroscope devices and a robust estimator based on the above fuzzy system by robust filter design concept for eliminating the effects of device noises and modeling uncertainties is proposed. This combination of MEMS devices and robust filtering technologies will successfully offer one an opportunity to develop a more small size and high accuracy module for practical navigation applications.

Original languageEnglish
Title of host publicationIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Pages3117-3122
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
EventIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris, France
Duration: 2006 Nov 62006 Nov 10

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

OtherIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
CountryFrance
CityParis
Period06-11-0606-11-10

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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