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Vibration Control of Suspension System Using Proposed Neural Networks

[+] Author Affiliations
Şahin Yıldırım, İkbal Eski

Erciyes University, Kayseri, Turkey

Paper No. ESDA2006-95069, pp. 25-33; 9 pages
doi:10.1115/ESDA2006-95069
From:
  • ASME 8th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 2: Automotive Systems, Bioengineering and Biomedical Technology, Fluids Engineering, Maintenance Engineering and Non-Destructive Evaluation, and Nanotechnology
  • Torino, Italy, July 4–7, 2006
  • ISBN: 0-7918-4249-5 | eISBN: 0-7918-3779-3
  • Copyright © 2006 by ASME

abstract

This paper investigates a new robust model based neural controller for active suspension system’s vibrations via feedback control approach. The proposed model reference adaptive control system consists of a neural controller, a robust feedback controller, a third-order linear reference model and dynamics of active suspension system. The simulation examples with various standard input signals are included to demonstrate the effectiveness of the proposed control method and show significant improvement over the existing PID controller method. The robustness of the proposed neural controller is also analyzed with white noise disturbances on the suspension system. It is shown that the control system is robustly stable for all road disturbances. Finally, this kind of control approach could be employed in real time vehicle applications.

Copyright © 2006 by ASME

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