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

Abstract : 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.
Document type :
Journal articles
Liste complète des métadonnées

http://hal.univ-grenoble-alpes.fr/hal-01826646
Contributor : Marcelo Menezes Morato <>
Submitted on : Friday, June 29, 2018 - 4:00:55 PM
Last modification on : Thursday, February 7, 2019 - 4:32:10 PM
Document(s) archivé(s) le : Thursday, September 27, 2018 - 7:39:00 AM

File

FastMPC_H2_JPC_revue.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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, Elsevier, 2019, 356 (3), pp. 1196 - 1224. ⟨10.1016/j.jfranklin.2018.11.016⟩. ⟨hal-01826646⟩

Share

Metrics

Record views

154

Files downloads

256