Networked embedded generalized predictive controller for an active suspension system

Author

Shoukry, Y. ; El-Shafie, Mohamed ; Hammad, S.

Author_Institution

Comput. & Syst. Dept., Ain Shams Univ., Cairo, Egypt

fYear

2010

fDate

June 30 2010-July 2 2010

Firstpage

4570

Lastpage

4575

Abstract

This paper applies the generalized predictive control (GPC) to a class of active suspension automotive systems. It introduces both physical and digital necessary models for simulation and control law design. Experimental environment is designed in order to get real time identification and control verification results. Real time CAN-bus Networked Embedded Control System (NECS) represents the backbone of this environment. Real-Time experimental results show the efficiency of the proposed tuning of the GPC controller in order to get a ride-comfort with an acceptable level of exerted energy.

Keywords

automotive engineering; control system synthesis; controller area networks; mechanical variables control; predictive control; suspensions (mechanical components); CAN-bus Networked embedded control system; GPC controller; control law design; networked embedded generalized predictive controller; suspension automotive systems; Actuators; Automotive engineering; Communication system control; Control systems; Hardware; National electric code; Predictive control; Real time systems; Vehicle dynamics; Wheels; Active suspension; CAN bus; generalized predictive control (GPC); networked embedded control system (NECS);

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2010

Conference_Location

Baltimore, MD

ISSN

0743-1619

Print_ISBN

978-1-4244-7426-4

Type

conf

DOI

10.1109/ACC.2010.5530876

Filename

5530876