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Integrated Control of Steering and Braking for Effective Collision Avoidance with Autonomous Emergency Braking in Automated Driving
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-1685-5586
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-7048-0108
2022 (English)In: Proceedings of the 30th Mediterranean Conference on Control and Automation (MED), 2022Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a control approach allowing a tight integration of several driver assistance functions in automotive vehicles, including front steering, differential braking and autonomous emergency braking. The goal is to support a more effective collision avoidance with necessary emergency maneuvers during automated driving, while avoiding situations with a high risk of undesired vehicle instability due to separated steering and braking actions. The approach adopts a ModelPredictive Control (MPC) based methodology using a set of performance indexes calculated according to the actual time to collision, braking and steering capabilities. The effectiveness of the proposed methodology is evaluated in a simulation on MATLAB/Simulink.

Place, publisher, year, edition, pages
2022.
National Category
Control Engineering Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-316342DOI: 10.1109/MED54222.2022.9837228ISI: 000854013700154Scopus ID: 2-s2.0-85136254272OAI: oai:DiVA.org:kth-316342DiVA, id: diva2:1687305
Conference
2022 30th Mediterranean Conference on Control and Automation (MED), 28 June 2022 - 01 July 2022, Vouliagmeni, Greece
Note

Part of proceedings ISBN 978-1-6654-0673-4

QC 20221031

Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2025-02-14Bibliographically approved

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fulltext(1566 kB)300 downloads
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bc152e148a7036c6a919a8a33a73baf4c7f16207d0f9f38d5d8a40b64d517973440a48d14daf3134186daf8e7d530a04d97204b97918d3c0059f4fc37e69fd40
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Wang, DekunTahmasebi, Kaveh NazemChen, DeJiu

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