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Benchmarking of Predictive Hybrid Braking Control Algorithms

Satzger, Clemens (2017) Benchmarking of Predictive Hybrid Braking Control Algorithms. In: Methoden und Anwendungen der Regelungstechnik Steuerungs- und Regelungstechnik. Shaker-Verlag. pp. 53-66. ISBN 978-3-8440-5367. ISSN 0945-1005

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This article compares the performance of three predictive braking control algorithms for electric vehicles with hybrid braking actuators, composed of friction brakes and electric motors. First, a cascaded controller consisting of a scheduling wheel slip controller and a subordinate model predictive control allocation is presented. Second, a model predictive control method is developed to centralize the cascaded controller to a single-loop controller. Third, a robust model predictive control method is applied, which additionally handles plant disturbances relying on the constraint tightening approach. It is shown that the single-loop controller can improve the tracking performance compared to the cascaded controller under nominal and disturbed (mu-step) braking scenarios at the limit of tire adhesion.

Item URL in elib:https://elib.dlr.de/114420/
Document Type:Contribution to a Collection
Title:Benchmarking of Predictive Hybrid Braking Control Algorithms
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Satzger, Clemensclemens.satzger (at) dlr.dehttps://orcid.org/0000-0002-0714-3675
Date:September 2017
Journal or Publication Title:Methoden und Anwendungen der Regelungstechnik
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 53-66
Roppenecker, GünterLRT-FAU
Lohmann, BorisRT-TUM
Series Name:Steuerungs- und Regelungstechnik
Keywords:braking control; hybrid actuators; wheel slip control; model predictive control
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben Intelligente Mobilität
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Vehicle System Dynamics
Deposited By: Satzger, Clemens
Deposited On:16 Oct 2017 09:49
Last Modified:16 Oct 2017 09:49

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