Accurate Virtual Sensing of Vertical Tire Forces for Enhanced Handling Dynamics

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

5 Citations (Scopus)

Abstract

This paper presents a virtual sensor to estimate the vertical tire forces timely and accurately using stochastic Kalman Filtering and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Specifically, the suspension dynamics are captured from suspension deflection and vertical acceleration measurements, while the suspension damping, elastic, and kinematic characteristics are approximated by ANFIS models. A virtual testing environment has been constructed in IPG-CarMaker
R using a driver-in-theloop setup and random profiles have been added to the virtual road to approximate the ground irregularities. The virtual sensor has been verified under aggressive maneuvers performed by an experienced driver in a dynamic platform and in a race track (Nordschleife). The virtual sensor is compared to a preliminary quasi-static suspension-based observer developed during previous research steps and results demonstrate the superior ability of the enhanced design to capture wheel dynamic loads derived from road disturbances.
Original languageEnglish
Title of host publicationIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISBN (Electronic)978-1-5386-1127-2
ISBN (Print)978-1-5386-1128-9
DOIs
Publication statusPublished - 18 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society - China National Convention Center, Beijing, China
Duration: 29 Oct 20171 Nov 2017

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON 2017
CountryChina
CityBeijing
Period29/10/171/11/17
OtherThe scope of IECON 2017 is in intelligent and computer control systems, robotics, factory communications and automation, flexible manufacturing, data acquisition and signal processing, vision systems, and power electronics.

Fingerprint Dive into the research topics of 'Accurate Virtual Sensing of Vertical Tire Forces for Enhanced Handling Dynamics'. Together they form a unique fingerprint.

  • Cite this

    Acosta, M., Kanarachos, S., & Fitzpatrick, M. (2017). Accurate Virtual Sensing of Vertical Tire Forces for Enhanced Handling Dynamics. In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON.2017.8216687