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Model predictive control of magnetic automotive actuators

Di Cairano, Stefano and Bemporad, Alberto and Kolmanovsky, Ilya and Hrovat, Davor Model predictive control of magnetic automotive actuators. In: American Control Conference. IEEE, 9th-13th July 2007 , pp. 5082-5087. ISBN 1-4244-0988-8 (2007)

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Magnetically actuated mass-spring-damper systems are common in automotive systems as components of various actuation mechanisms. They are characterized by nonlinear dynamics, tight performance specifications and physical constraints. Due to these reasons, model predictive control (MPC) is an appealing control framework for such systems. In this paper we describe different MPC approaches to control the magnetically actuated mass-spring-damper system. The MPC controller based on the complete system model achieves very good performance, yet it may be too complex to be implemented in standard automotive microcontrollers. Hence, we consider the possibility of decoupling the electromagnetic subsystem from the mechanical subsystem, assuming that the electromagnetic dynamics, controlled by an inner-loop controller, are much faster than the mechanical dynamics. Based on a previous feasibility study, we implement a control architecture in which the MPC optimizes only the dynamics of the mechanical subsystem, and we test it in closed-loop simulations with the nonlinear system. The resulting control system achieves lower performance, but it is simple enough to be implemented in an automotive microcontroller.

Item Type: Book Section
Identification Number: 10.1109/ACC.2007.4282462
Funders: Work (partially) done in the framework of the HYCON Network of Excellence, contract number FP6-IST-511368
Uncontrolled Keywords: automotive microcontroller; closed-loop simulation; electromagnetic dynamics; electromagnetic subsystem decoupling; inner-loop controller; magnetic automotive actuator; mass-spring-damper system;mechanical dynamics; mechanical subsystem; model predictive control; nonlinear system; system model; automotive components; closed loop systems; nonlinear systems; predictive control; shock absorbers; springs (mechanical); vibration control
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 08:40
Last Modified: 05 Aug 2011 13:15
URI: http://eprints.imtlucca.it/id/eprint/505

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