A Model Predictive Control Approach to Design a Parameterized Adaptive Cruise Control

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

7 Citations (Scopus)
12 Downloads (Pure)

Abstract

The combination of different desirable characteristics and situation-dependentbehavior cause the design of adaptive cruise control (ACC) systems to be timeconsuming and tedious. This chapter presents a systematic approach for the designand tuning of an ACC, based on model predictive control (MPC). A unique featureof the synthesized ACC is its parameterization in terms of the key characteristicssafety, comfort and fuel economy. This makes it easy and intuitive to tune, evenfor nonexperts in (MPC) control, such as the driver. The effectiveness of the designapproach is demonstrated using simulations for some relevant traffic scenarios.
Original languageEnglish
Title of host publicationAutomotive Model Predictive Control Models: Methods and Applications
Place of PublicationBerlin / Heidelberg
PublisherSpringer
Pages273-284
ISBN (Print)978-1-84996-070-0
DOIs
Publication statusPublished - 2010

Publication series

NameLecture notes in control and information sciences
Volume402
ISSN (Print)0170-8643

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