Design of a Fast Real-Time LPV Model Predictive Control System for Semi-Active Suspension Control of a Full Vehicle - Université Grenoble Alpes Accéder directement au contenu
Article Dans Une Revue Journal of The Franklin Institute Année : 2019

Design of a Fast Real-Time LPV Model Predictive Control System for Semi-Active Suspension Control of a Full Vehicle

Résumé

This article is concerned with the control of a Semi-Active suspension system of a 7DOF Full Vehicle model, equipped with four Electro Rheological (ER) dampers, taking into account their incipient dissipativity constraints. Herein, a Real-Time, fast, advanced control structure is presented within the Model Predictive Control framework for Linear Parameter Varying (LPV) systems. The control algorithm is developed to provide a suitable trade-off between comfort and handling performances of the vehicle in a very limited sampling period (T s = 5 ms), in the view of a possible realtime implementation on a real vehicle. The control structure is tested and compared to other standard fast control approaches. Full nonlinear realistic simulation results illustrate the overall good operation and behaviour of the proposed control approach.
Fichier principal
Vignette du fichier
FastMPC_H2_JPC_revue.pdf (4.95 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01826646 , version 1 (29-06-2018)

Identifiants

Citer

Marcelo Menezes Morato, Manh Quan Nguyen, Olivier Sename, Luc Dugard. Design of a Fast Real-Time LPV Model Predictive Control System for Semi-Active Suspension Control of a Full Vehicle. Journal of The Franklin Institute, 2019, 356 (3), pp. 1196 - 1224. ⟨10.1016/j.jfranklin.2018.11.016⟩. ⟨hal-01826646⟩
259 Consultations
74 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More