Logo eprints

An MPC design flow for automotive control and applications to idle speed regulation

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)

Full text not available from this repository.

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.

Item Type: Book Section
Identification Number: https://doi.org/10.1109/CDC.2008.4738865
Uncontrolled 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
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 21 Jun 2011 10:13
Last Modified: 05 Aug 2011 12:57
URI: http://eprints.imtlucca.it/id/eprint/615

Actions (login required)

Edit Item Edit Item