Reference : Deadzone-Quadratic Penalty Function for Predictive Extended Cruise Control with Exper...
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Security, Reliability and Trust
Deadzone-Quadratic Penalty Function for Predictive Extended Cruise Control with Experimental Validation
Sajadi Alamdari, Seyed Amin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Voos, Holger [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Darouach, Mohamed [Centre de Recherche en Automatique de Nancy (CRAN) > Universite de Lorraine]
ROBOT 2017: Third Iberian Robotics Conference, Sevilla, Spain 22-24 November 2017
ROBOT 2017: Third Iberian Robotics Conference
from 22-11-2017 to 24-11-2017
[en] Nonlinear Model Predictive Control ; Driver Assistance System ; Intelligent Transportation Systems
[en] Battery Electric Vehicles have high potentials for the modern transportations, however, they are facing limited cruising range. To address this limitation, we present a semi-autonomous ecological driver assistance system to regulate the velocity with energy-efficient techniques. The main contribution of this paper is the design of a real-time nonlinear receding horizon optimal controller to plan the online cost-effective cruising velocity. Instead of conventional L2-norms, a deadzone-quadratic penalty function for the nonlinear model predictive controller is proposed. Obtained field experimental results demonstrate the effectiveness of the proposed method for a semi-autonomous electric vehicle in terms of real-time energy-efficient velocity regulation and constraints satisfaction.
FnR ; FNR7041503 > Seyed Amin Sajadi Alamdari > SEDAS > Stochastic Model Predictive Control For Eco-Driving Assistance Systems In Electric Vehicles > 15/06/2014 > 14/06/2018 > 2013

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