1 Search Results for "Ibrahim, Amr"

Document
DOI: 10.4230/OASIcs.ASD.2019.2
Feasibility Study and Benchmarking of Embedded MPC for Vehicle Platoons

Authors: Iñaki Martín Soroa, Amr Ibrahim, Dip Goswami, and Hong Li

Published in: OASIcs, Volume 68, Workshop on Autonomous Systems Design (ASD 2019)

Abstract
This paper performs a feasibility analysis of deploying Model Predictive Control (MPC) for vehicle platooning on an On-Board Unit (OBU) and performance benchmarking considering interference from other (system) tasks running on an OBU. MPC is a control strategy that solves an implicit (on-line) or explicit (off-line) optimisation problem for computing the control input in every sample. OBUs have limited computational resources. The challenge is to implement an MPC algorithm on such automotive Electronic Control Units (ECUs) with an acceptable timing behavior. Moreover, we should be able to stop the execution if necessary at the cost of performance. We measured the computational capability of a unit developed by Cohda Wireless and NXP under the influence of its Operating System (OS). Next, we analysed the computational requirements of different state-of-the-art MPC algorithms by estimating their execution times. We use off-the-shelf and free automatic code generators for MPC to run a number of relevant MPC algorithms on the platform. From the results, we conclude that it is feasible to implement MPC on automotive ECUs for vehicle platooning and we further benchmark their performance in terms of MPC parameters such as prediction horizon and system dimension.
Cite as

Iñaki Martín Soroa, Amr Ibrahim, Dip Goswami, and Hong Li. Feasibility Study and Benchmarking of Embedded MPC for Vehicle Platoons. In Workshop on Autonomous Systems Design (ASD 2019). Open Access Series in Informatics (OASIcs), Volume 68, pp. 2:1-2:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@InProceedings{martinsoroa_et_al:OASIcs.ASD.2019.2,
  author =	{Mart{\'\i}n Soroa, I\~{n}aki and Ibrahim, Amr and Goswami, Dip and Li, Hong},
  title =	{{Feasibility Study and Benchmarking of Embedded MPC for Vehicle Platoons}},
  booktitle =	{Workshop on Autonomous Systems Design (ASD 2019)},
  pages =	{2:1--2:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-102-3},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{68},
  editor =	{Saidi, Selma and Ernst, Rolf and Ziegenbein, Dirk},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2019.2},
  URN =		{urn:nbn:de:0030-drops-103359},
  doi =		{10.4230/OASIcs.ASD.2019.2},
  annote =	{Keywords: Model predictive control, vehicle platoon, embedded implementation, code generation}
}
  • Refine by Author
  • 1 Goswami, Dip
  • 1 Ibrahim, Amr
  • 1 Li, Hong
  • 1 Martín Soroa, Iñaki

  • Refine by Classification
  • 1 Applied computing → Command and control
  • 1 Computer systems organization → Embedded systems

  • Refine by Keyword
  • 1 Model predictive control
  • 1 code generation
  • 1 embedded implementation
  • 1 vehicle platoon

  • Refine by Type
  • 1 document

  • Refine by Publication Year
  • 1 2019

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact