Vibration control of vehicle active suspension system using a new robust neural network control system

ESKİ I., Yidirim S.

SIMULATION MODELLING PRACTICE AND THEORY, vol.17, no.5, pp.778-793, 2009 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 5
  • Publication Date: 2009
  • Doi Number: 10.1016/j.simpat.2009.01.004
  • Journal Name: SIMULATION MODELLING PRACTICE AND THEORY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.778-793
  • Keywords: PID controller, Neural networks, Whole vehicle's suspension, Robust controller, SEMIACTIVE SUSPENSION, SEAT VIBRATIONS, MODEL, DESIGN, CAR
  • Erciyes University Affiliated: Yes

Abstract

The main problem of vehicle vibration comes from road roughness. For that reason, it is necessary to control vibration of vehicle's suspension by using a robust artificial neural network control system scheme. Neural network based robust control system is designed to control vibration of vehicle's suspensions for full suspension system. Moreover. the full vehicle system has seven degrees of freedom on the vertical direction of vehicle's chassis, on the angular variation around X-axis and on the angular variation around Y-axis. The proposed control system is consisted of a robust controller, a neural controller, a model neural network of vehicle's suspension system. On the other hand, standard PID controller is also used to control whole vehicle's suspension system for comparison.