TY  - CHAP
ID  - eprints539
EP  - 246
SP  - 241
TI  - Model predictive control of nonlinear mechatronic systems: an application to a magnetically actuated mass spring damper
N2  - Mechatronic systems in the automotive applications are characterized by significant nonlinearities and tight performance specifications further exacerbated by state and input constraints. Model Predictive Control (MPC) in conjunction with hybrid modeling can be an attractive and systematic methodology to handle these challenging control problems. In this paper, we focus on a mass spring damper system actuated by an electromagnet, which is one of the most common elements in the automotive actuators, with fuel injectors representing a concrete example. We present two designs which are based, respectively, on a linear MPC approach in cascade with a nonlinear state-dependent saturation, and on a hybrid MPC approach. The performance and the complexity of the two MPC controllers are compared.
AV  - none
SN  - 978-3-902661-06-7
T2  - 2nd IFAC Conference on Analysis and Design of Hybrid Systems
KW  - Model predictive control; Automotive applications; Hybrid systems
A1  - Di Cairano, Stefano
A1  - Bemporad, Alberto
A1  - Kolmanovsky, Ilya
A1  - Hrovat, Davor
UR  - http://www.ifac-papersonline.net/Detailed/30165.html
Y1  - 2006///
PB  - IFAC
ER  -