Design of Fuzzy-PID Controller for Ride Comfort Enhancement of a Half-Vehicle with Active Suspension System

Article Preview

Abstract:

A fuzzy-PID controller is developed and applied to the active suspension system for the ride comfort enhancement of a half-vehicle model. A four degree-of-freedom vehicle model with active suspension system is proposed, which focused on the passenger’s ride comfort performance, and a fuzzy-PID controller is developed by incorporating the fuzzy logic control mechanism into the modifications of the PID structure. The performance of the proposed controller has been verified by comparing it with passive control method in MATLAB/Simulink. The simulation results indicate that the developed fuzzy-PID controller enhances the ride comfort performance of the vehicle active suspension system by reducing the body acceleration and pitch angle significantly.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

382-386

Citation:

Online since:

March 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] T. Yoshimura, K. Nakaminami, M. Kurimoto, and J. Hino, "Active suspension of passenger cars using linear and fuzzy-logic controls," Control Engineering Practice, vol. 7, pp.41-47, January (1999)

DOI: 10.1016/s0967-0661(98)00145-2

Google Scholar

[2] A. B. Sharkawy, "Fuzzy and adaptive fuzzy control for the automobiles' active suspension system," Vehicle System Dynamics, Vol. 43, pp.795-806, November (2005)

DOI: 10.1080/00423110500097783

Google Scholar

[3] M. Biglarbegian, W. Melek, and F. Golnaraghi, "A novel neuro-fuzzy controller to enhance the performance of vehicle semi-active suspension systems," Vehicle System Dynamics, Vol. 46, pp.691-711, August (2008)

DOI: 10.1080/00423110701585420

Google Scholar

[4] H. Du, and N. Zhang, "Designing H∞/GH2 static-output feedback controller for vehicle suspensions using linear matrix inequalities and genetic algorithms," Vehicle System Dynamics, Vol. 46, pp.385-412, May (2008)

DOI: 10.1080/00423110701407013

Google Scholar

[5] J. Carvajal, G. R. Chen, and H. Ogmen, "Fuzzy PID controller: design, performance evaluation, and stability analysis," Information Sciences, Vol. 123, pp.249-270, April (2000)

DOI: 10.1016/s0020-0255(99)00127-9

Google Scholar

[6] J. T. Cao, P. Li, and H. H. Liu, "An extended fuzzy controller for a vehicle active suspension system," Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol.224, pp.717-733, June (2010)

DOI: 10.1243/09544070jauto1282

Google Scholar

[7] M. Yu, S. B. Choi, X. M. Dong, and C. R. Liao, "Fuzzy Neural Network Control for Vehicle Stability Utilizing Magnetorheological Suspension System," Journal of Intelligent Material Systems and Structures, Vol. 20, pp.457-466, April (2009)

DOI: 10.1177/1045389x08091972

Google Scholar