Control Performance Analysis of a CAN – Based Networked Control System: Active Suspension Study Case

In this paper a performance analysis of a Networked Control System (NCS) based in Controller Area Network (CAN) is presented. The analysis is done considering three variables of CAN: baud rate, priority of message and network load. These parameters directly affect the network delay and in consequence the feedback control performance. An active suspension model is considered and extensive experimental results have been performed to demonstrate the influence of these parameters in the quality of control performance. An experimental system which includes a pedagogic scale model with real car components was exploited.

• Record URL:
  • https://doi.org/10.4271/2009-01-0124
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19464614
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Ramírez–Mendoza, R
  • Morales–Menéndez, R
  • Táger, J
  • Vargas, R
  • Aguilar, A
• Conference:
  • SAE World Congress & Exhibition
  • Location: Detroit Michigan, United States
  • Date: 2008-4-14 to 2008-4-17
• Publication Date: 2009-4-20

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 10-17
• Serial:
  • SAE International Journal of Passenger Cars - Electronic and Electrical Systems
  • Volume: 2
  • Issue Number: 1
  • Publisher: SAE International
  • ISSN: 1946-4614
  • EISSN: 1946-4622
  • Serial URL: https://www.sae.org/publications/collections/content/E-JOURNAL-07/

Subject/Index Terms

• TRT Terms: Active suspension systems; Analysis; Case studies; Computer network protocols; Electronic control; Vehicle electrical systems; Vehicle performance
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01652673
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2009-01-0124
• Files: TRIS, SAE
• Created Date: Nov 30 2017 5:17PM