Di Cairano, Stefano and Bemporad, Alberto and Kolmanovsky, Ilya and Hrovat, Davor Model predictive control of nonlinear mechatronic systems: an application to a magnetically actuated mass spring damper. In: 2nd IFAC Conference on Analysis and Design of Hybrid Systems. IFAC, pp. 241-246. ISBN 978-3-902661-06-7 (2006)Full text not available from this repository.
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.
|Item Type:||Book Section|
|Uncontrolled Keywords:||Model predictive control; Automotive applications; Hybrid systems|
|Subjects:||T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
|Research Area:||Computer Science and Applications|
|Depositing User:||Professor Alberto Bemporad|
|Date Deposited:||27 Jul 2011 08:43|
|Last Modified:||05 Aug 2011 13:42|
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