GPS based estimation of vehicle sideslip angle using multi-rate Kalman filter with prediction of course angle measurement residual

B. M. Nguyen, Yafei Wang, Sehoon Oh, Hiroshi Fujimoto, Yoichi Hori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, a new vehicle sideslip angle estimation based on GPS is proposed. Course angle obtained from GPS receiver can be utilized as one measurement for estimation design, together with the yaw rate from gyroscope. While yaw rate is sampled every 1 ms, the sampling time of course angle is much longer (200 ms). During inter-samples (between two updates of course angle), the conventional estimation method relies upon only yaw rate measurement. In order to enhance the estimation accuracy, multi-rate Kalman filter with the prediction of course angle measurement residual during inter-samples is designed. Experiments are conducted to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the FISITA 2012 World Automotive Congress
Pages597-609
Number of pages13
EditionVOL. 6
DOIs
StatePublished - 2013
EventFISITA 2012 World Automotive Congress - Beijing, China
Duration: 27 Nov 201230 Nov 2012

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 6
Volume194 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceFISITA 2012 World Automotive Congress
Country/TerritoryChina
CityBeijing
Period27/11/1230/11/12

Keywords

  • GPS
  • Kalman filter
  • Measurement residual
  • Multi-rate
  • Sideslip angle

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