Comparing the networks CAN and ARINC 629 CP with respect to the quality of the service provided to an automatic control application

  • I. Blum
  • G. Juanole
Conference paper


The objective of this work is, at first, to formally model and evaluate the Quality of the Service (delay) provided by the MAC layer of the networks CAN and ARINC 629 CP with respect to a particular periodic message stream among a set of periodic message streams and, second, to link this Quality of Service to the stability performance of a closed loop control system which is based on this particular periodic message stream. At first, the message scheduling and delay evaluation are made by using Stochastic Time Petri Nets. We show the relation (message priority - message delay), and when either CAN or ARINC is better. Finally, by considering the closed loop control system as a continuous linear system and then using the concept of transfer function based on the Laplace Transform, we evaluate its phase margin in function of the delay.


International Standard Organization Phase Margin Controller Area Network Leader Station Closed Loop Control System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Karl J. Aström and Björn Wittenmark. Computer controlled Systems: Theory and Design. Prentice Hall. Information and system Science Series. 1997.Google Scholar
  2. 2.
    Yoram Halevi, Asok Ray, Integrated communication and control systems. Journal of Dynamic systems, Measurement and Control. December 1988.Google Scholar
  3. 3.
    International Standard Organization (ISO), Road Vehicles — Interchange of Digital Information-Controller Area Network for high-speed Communication, ISO 11898,1994.Google Scholar
  4. 4.
    Airlines Electronic Engineering Comittee, Multi-Transmitter Data Bus. ARINC Specification 629-2: Part 1, Technical Description, Aeronautical Radio Inc. edition, October 1991.Google Scholar
  5. 5.
    C. Liu and J. Layland, Scheduling Algorithms for Multiprogramming in a Hard Real-Time Environnement. Journal of ACM, vol. 29, no. 1. 1973.Google Scholar
  6. 6.
    Y. Atamna, Réseaux de Petri Temporisés Stochastiques Classiques et Bien Formés: définition, analyse et applications aux systèmes distribués temps-réel. PhD thesis, Université Paul Sabatier, Toulouse, December 1994..Google Scholar

Copyright information

© Springer-Verlag Wien 1999

Authors and Affiliations

  • I. Blum
    • 1
  • G. Juanole
    • 1
  1. 1.LAAS-CNRSToulouse Cedex 4France

Personalised recommendations