Fuzzy Controller for Semi-Active Automobile Suspension System under Random Profiled Road Input

Article Preview

Abstract:

The suspension system is one of the most important parts of the automobile. The suspension system has an important influence on the ride comfort and maneuverable stability of the automobile. As structure parameters of traditional passive suspension cannot adaptively change with external conditions, the improvement of dynamic performance is difficult. Tow-DOF and four-DOF suspension of vehicle model is set up in this paper. Under random profiled road input simulated by using Runge-Kutta method, the control laws of fuzzy controller are adjusted by using different weight coefficients and use Matlab software to simulate the performances. Then, the results are compared and the performances are analyzed between passive suspension and semi-active suspension. The simulation results show the semi-active suspension is more effective for decreasing the vibration of vehicle body than the passive suspension, and designed fuzzy controller is effective for controlling the active controller of the semi-active suspension.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

474-477

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Els P S. The Applicability of Ride Comfort Standards to Off-road Vehicles[J]. Journal of Terramechanics, 2005, 42: 47-64.

DOI: 10.1016/j.jterra.2004.08.001

Google Scholar

[2] Guo Yangkuan, Wang Zhenglin. Process control and simulation based on MATLAB/Simulink [M]. Beijing: Electronic industry press, 2009. 4.

Google Scholar

[3] Fang Xibang et al. Fuzzy control technology and its application in automobile semi-active suspension[J]. Journal of mechanical engineering. 1999, 35(3).

Google Scholar

[4] Mark R. Jolly and Lane R. Miller. The Control of Semi-Active DampersUsing Relative Feedback Signals. SAE Paper, No. 892483.

Google Scholar

[5] Georg F. Mauer. A fuzzy logic controller of an ABS braking system, IEEE Trans. on Fuzzy Sys. 3(4): 381一387.

DOI: 10.1109/91.481947

Google Scholar

[6] L. Palkovies, J. Bokor, P. Venhovens. Design Problems of the Semi-Active Wheels Suspension System and a Possible way of Their Elimiation. SAE Paper, No. 945065.

Google Scholar

[7] Moran. A, et al, Optimal Active Control of Nonlinear Vehicle Suspensions Using Neural Networks, JSME, International J., Series C: Dynamics, Control, Robotics, Design and Manufacturing, 1994, 37(4): 707一718.

DOI: 10.1299/jsmec1993.37.707

Google Scholar

[8] Bei Shaoyi, Chen Long. Design of semi-active automobile suspension fuzzy controller based on genetic algorithms [J]. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(9): 9-12.

Google Scholar

[9] Yu Fan, Lin Yi, Automotive system dynamics [M]. Beijing: Machinery Industry Press, (2005).

Google Scholar