Yaw stability control for a rear double-driven electric vehicle using LPV-H methods

Yonathan Weiss, Liron I. Allerhand, Shai Arogeti

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This paper presents a new yaw stability controller for a rear double-driven electric vehicle. A linear parameter varying (LPV) model of the vehicle is formulated using longitudinal speed measurement and tire cornering stiffness estimation. The LPV model is then utilized to design a gain-scheduled H controller with guaranteed stability. Results from simulations, performed with CarSim, show that the new controller improves the vehicle performance and handling even in extreme maneuvers and that it is robust to model parameter uncertainties.

Original languageEnglish
Article number70206
JournalScience China Information Sciences
Volume61
Issue number7
DOIs
StatePublished - 1 Jul 2018

Keywords

  • H control
  • electric vehicle
  • gain-scheduling
  • torque vectoring
  • yaw stability control

ASJC Scopus subject areas

  • General Computer Science

Fingerprint

Dive into the research topics of 'Yaw stability control for a rear double-driven electric vehicle using LPV-H methods'. Together they form a unique fingerprint.

Cite this