eprintid: 505
rev_number: 13
eprint_status: archive
userid: 7
dir: disk0/00/00/05/05
datestamp: 2011-07-27 08:40:30
lastmod: 2011-08-05 13:15:12
status_changed: 2011-07-27 08:40:30
type: book_section
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Di Cairano, Stefano
creators_name: Bemporad, Alberto
creators_name: Kolmanovsky, Ilya
creators_name: Hrovat, Davor
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
creators_id: 
title: Model predictive control of magnetic automotive actuators
ispublished: pub
subjects: TJ
subjects: TL
divisions: CSA
full_text_status: none
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
abstract: 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.
date: 2007
date_type: published
publication: American Control Conference
publisher: IEEE
place_of_pub: 9th-13th July 2007 
pagerange: 5082-5087
event_title:  American Control Conference, 2007
event_location: 9th-13th July 2007 
event_dates: New York
id_number: 10.1109/ACC.2007.4282462
refereed: TRUE
isbn: 1-4244-0988-8 
book_title: American Control Conference
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4282462&isnumber=4282135
funders: Work (partially) done in the framework of the HYCON Network of Excellence, contract number FP6-IST-511368
citation:   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)