Tire Force Estimation using a Proportional Integral Observer

Ahmad Farhat, Damien Koenig, Diana Hernandez-Alcantara, Ruben Morales-Menendez

Producción científica

8 Citas (Scopus)


This paper addresses a method for detecting critical stability situations in the lateral vehicle dynamics by estimating the non-linear part of the tire forces. These forces indicate the road holding performance of the vehicle. The estimation method is based on a robust fault detection and estimation approach which minimize the disturbance and uncertainties to residual sensitivity. It consists in the design of a Proportional Integral Observer (PIO), while minimizing the well known H norm for the worst case uncertainties and disturbance attenuation, and combining a transient response specification. This multi-objective problem is formulated as a Linear Matrix Inequalities (LMI) feasibility problem where a cost function subject to LMI constraints is minimized. This approach is employed to generate a set of switched robust observers for uncertain switched systems, where the convergence of the observer is ensured using a Multiple Lyapunov Function (MLF). Whilst the forces to be estimated can not be physically measured, a simulation scenario with CarSim TM is presented to illustrate the developed method.

Idioma originalEnglish
EstadoPublished - 19 ene 2017
Publicado de forma externa
EventoJournal of Physics: Conference Series -
Duración: 19 ene 2017 → …


ConferenceJournal of Physics: Conference Series
Período19/1/17 → …

All Science Journal Classification (ASJC) codes

  • Física y astronomía (todo)


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