Sampled-data fuzzy observer design for an attitude and heading reference system and its experimental validation

Han Sol Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this paper, a linear matrix inequality-based sampled-data fuzzy observer design method is proposed based on the exact discretization approach. In the proposed design technique, a numerically relaxed observer design condition is obtained by using the discrete-time fuzzy Lyapunov function. Unlike the existing studies, the designed observer is robust to the uncertain premise variable because the fuzzy observer is designed under the imperfect premise matching condition, in which the membership functions of the system and observer are mismatched. In addition, we apply the proposed method to the state estimation problem of the attitude and heading reference system (AHRS). To do this, we derive a Takagi-Sugeno fuzzy model for the AHRS system, and validate the proposed method through the hardware experiment.

Original languageEnglish
Pages (from-to)2399-2410
Number of pages12
JournalJournal of Electrical Engineering and Technology
Volume12
Issue number6
DOIs
Publication statusPublished - 2017 Nov

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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