Experimenting Sensors Network for Innovative Optimal Control of Car Suspensions

This paper presents an innovative electronically controlled suspension system installed on a real car and used as a test bench. The proposed setup relies on a sensor network that acquires a large real-time dataset collecting the car vibrations and the car trim and, through a new controller based on a recently proposed theory developed by the authors, makes use of adjustable semi-active magneto-rheological dampers. A BMW series 1 is equipped with such an integrated sensors-controller-actuators device and an extensive test campaign, in real driving conditions, is carried out to evaluate its performance. Thanks to its strategy, the new plant enhances, at once, both comfort and drivability of the car, as field experiments show. A benchmark analysis is performed, comparing the performance of the new control system with the ones of traditional semi-active suspensions, such as skyhook devices: the comparison shows very good results for the proposed solution.

• Record URL:
  • https://doi.org/10.3390/s19143062
• Record URL:
  • https://www.mdpi.com/1424-8220/19/14/3062
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2019 Gianluca Pepe et al.
• Authors:
  • Pepe, Gianluca
  • Roveri, Nicola
  • Carcaterra, Antonio
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 3062
• Serial:
  • Sensors
  • Volume: 19
  • Issue Number: 14
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Actuators; Automobiles; Control systems; Driveability; Sensors; Suspension systems; Vibration
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01715529
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 30 2019 1:01PM