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Optimal Model Predictive Acceleration Controller for a Combustion Engine and Friction Brake Actuated Vehicle
Linköping University.
Linköping University.
Volvo Car Corp, Sweden.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
2016 (English)In: 8th IFAC Symposium on Advances in Automotive Control AAC 2016, Norrköping, Sweden, 20—23 June 2016: Proceedings / [ed] Per Tunestål, Lars Eriksson, IFAC Papers Online, 2016, Vol. 49, no 11, 511-518 p.Conference paper (Refereed)
Abstract [en]

This paper investigates how model predictive control can be used to control the acceleration of a,an over actuated vehicle equipped with a combustion engine and friction. brakes. The control problem of keeping appropriate comfort and low energy consumption and simultaneously follow an acceleration reference is described. Vehicle and actuator models are developed and the model predictive controller is tested for an adaptive cruise control cut in scenario in simulation. To be aide to quantify the benefit, of the proposed model predictive controller, the performance is analyzed and compared with a state of the art PID controller. (C) 2016, IFAC (International Federation of Automatic: Control) Hosting by Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
IFAC Papers Online, 2016. Vol. 49, no 11, 511-518 p.
Series
, IFAC-PapersOnLine, ISSN 2405-8963
Keyword [en]
Vehicle Dynamics, Model Based Control, Model Predictive Control, Actuator Coordination, Automotive Control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-132239DOI: 10.1016/j.ifacol.2016.08.075ISI: 000383464400075OAI: oai:DiVA.org:liu-132239DiVA: diva2:1039388
Conference
8th IFAC Symposium on Advances in Automotive Control AAC 2016, Norrköping, Sweden, June 20-23, 2016
Available from: 2016-10-24 Created: 2016-10-21 Last updated: 2016-11-04Bibliographically approved

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Mattsson, MathiasMehler, RasmusThomasson, Andreas
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Linköping UniversityVehicular SystemsFaculty of Science & Engineering
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