Vehicle roll angle and bank angle estimation using FIR filtering

Hong Bae Jeong, Sung Hyun You, Hyun Ho Kang, Choon Ki Ahn

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

Abstract

This paper proposes a novel estimation method using finite impulse response (FIR) filter for the vehicle roll and bank angles. A vehicle model was constructed using the bicycle model and roll motion model and has parameter uncertainties. The proposed method ensures robust to vehicle parameter uncertainties and has no risk of divergence. Furthermore, the proposed method does not need to use expensive sensors such as differential global positioning sensor (DGPS) or tilt angle sensors. Simulation results are provided to demonstrate the effectiveness and performance of the proposed method.

Original languageEnglish
Title of host publication2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages348-352
Number of pages5
Volume2017-November
ISBN (Electronic)9781538611685
DOIs
Publication statusPublished - 2017 Nov 16
Event8th International Conference on Intelligent Control and Information Processing, ICICIP 2017 - Hangzhou, China
Duration: 2017 Nov 32017 Nov 5

Other

Other8th International Conference on Intelligent Control and Information Processing, ICICIP 2017
CountryChina
CityHangzhou
Period17/11/317/11/5

Keywords

  • FIR filter
  • road bank angle estimation
  • robust estimation
  • Vehicle dynamics
  • vehicle roll angle estimation

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence
  • Control and Systems Engineering

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