eprintid: 615
rev_number: 16
eprint_status: archive
userid: 7
dir: disk0/00/00/06/15
datestamp: 2011-06-21 10:13:44
lastmod: 2011-08-05 12:57:37
status_changed: 2011-07-27 08:36:26
type: book_section
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Di Cairano, Stefano
creators_name: Yanakiev, Diana
creators_name: Bemporad, Alberto
creators_name: Kolmanovsky, Ilya
creators_name: Hrovat, Davor
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
creators_id: 
title: An MPC design flow for automotive control and applications to idle speed regulation
ispublished: pub
subjects: QA75
subjects: TJ
subjects: TK
subjects: TL
divisions: CSA
full_text_status: none
keywords: automotive control;automotive engineering;closed-loop dynamics;controller synthesis;idle speed regulation;integral action;linearized discrete-time prediction model;model predictive control design flow;offset-free steady-state property;output disturbance model;rapid prototype testing;simulation model;stability;automotive engineering;closed loop systems;control system synthesis;discrete time systems;linear systems;predictive control;stability;vehicles;velocity control
abstract: This paper describes the steps of a model predictive control (MPC) design procedure developed for a broad class of control problems in automotive engineering. The design flow starts by deriving a linearized discrete-time prediction model from an existing simulation model, augmenting it with integral action or output disturbance models to ensure offset-free steady-state properties, and tuning the resulting MPC controller in simulation. Explicit MPC tools are employed to synthesize the controller to quickly assess controller complexity, local stability of the closed-loop dynamics, and for rapid prototype testing. Then, the controller is fine-tuned by refining the linear prediction model through identification from experimental data, and by adjusting from observed experimental performance the values of weights and noise covariances for filter design. The idle speed control (ISC) problem is used in this paper to exemplify the design flow and our vehicle implementation results are reported.
date: 2008
date_type: published
publication: Decision and Control
publisher: IEEE
pagerange: 5686-5691
event_title: 47th IEEE Conference on Decision and Control
event_location: 9th - 11th December 2008
event_dates: Cancun, Mexico
id_number: 10.1109/CDC.2008.4738865
refereed: TRUE
isbn: 978-1-4244-3123-6 
book_title: Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4738865&isnumber=4738560
citation:   Di Cairano, Stefano and Yanakiev, Diana and Bemporad, Alberto and Kolmanovsky, Ilya and Hrovat, Davor  An MPC design flow for automotive control and applications to idle speed regulation.   In:  Decision and Control, 2008. CDC 2008. 47th IEEE Conference on.   IEEE, pp. 5686-5691.  ISBN 978-1-4244-3123-6       (2008)