Observability of self-sensing system using extended Kalman filter

Kanjuro Makihara, Junjiro Onoda, Takuya Yabu

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

A new self-sensing method using piezoelectric actuators for semiactive vibration suppression was proposed that was also implemented with the Kalman filter. Experiments and numerical simulations demonstrated that the self-sensing method had significantly good suppression performance, where the method separated electrical status into two cases and characterized each of these. The discriminant matrix was derived through mathematical analysis based on the PBH rank test that determines the observability of the self-sensing system. The analytical investigation gave the self-sensing method a guarantee for actual applications.

Original languageEnglish
Pages (from-to)306-308
Number of pages3
JournalAIAA journal
Volume45
Issue number1
DOIs
Publication statusPublished - 2007 Jan 1
Externally publishedYes

ASJC Scopus subject areas

  • Aerospace Engineering

Fingerprint Dive into the research topics of 'Observability of self-sensing system using extended Kalman filter'. Together they form a unique fingerprint.

Cite this