CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Sliding Mode Control of Half-car Active Suspension

by Haifa Souilem, Sonia Mahjoub, Nabil Derbel
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 14
Year of Publication: 2016
Authors: Haifa Souilem, Sonia Mahjoub, Nabil Derbel
10.5120/ijca2016908524

Haifa Souilem, Sonia Mahjoub, Nabil Derbel . Sliding Mode Control of Half-car Active Suspension. International Journal of Computer Applications. 155, 14 ( Dec 2016), 1-6. DOI=10.5120/ijca2016908524

@article{ 10.5120/ijca2016908524,
author = { Haifa Souilem, Sonia Mahjoub, Nabil Derbel },
title = { Sliding Mode Control of Half-car Active Suspension },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 14 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number14/26771-2016908524/ },
doi = { 10.5120/ijca2016908524 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:12.846675+05:30
%A Haifa Souilem
%A Sonia Mahjoub
%A Nabil Derbel
%T Sliding Mode Control of Half-car Active Suspension
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 14
%P 1-6
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of the sliding mode controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling asso- ciated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objec- tives, as possible. This paper deals with introducing a new technique such as Propor- tional Integral Sliding Mode controller(PISMC), sliding mode con- troller(SMC) and PID approaches to Half-Car Active Suspension to design a stability to meet the control objectives. The advantage of this controller is that it can handle the nonlinearities faster than other conventional controllers. The approach of the proposed con- troller is to minimize the vibrations on each corner of vehicle by supplying control forces to suspension system when travelling on rough road. Simulation results and a comparison with a calssical PID con- troller are presented and discussed. We studied the stabil- ity of the three used controllers in the presence of distur- bances. A good performance for the sliding mode controller (SMC) is achieved in simulation studies despite the disturbances.

References
  1. K. Sung, Y. Han, K. Lim and S. Choi. Discrete-time Fuzzy Sliding Mode Control for a Vehicle Suspension System Featuring an Electrorheological fluid damper. Smart Materials and Structures 16: pp. 798-808, 2007.
  2. M. Biglarbegian,W. Melek and F. Golnaraghi. A Novel Neurofuzzy Controller to Enhance the Performance of Vehicle Semiactive Suspension Systems, Vehicle System Dynamics, Vol. 46, No.8: pp. 691-711, 2008.
  3. M. Biglarbegian, W. Melek and F. Golnaraghi. Design of a Novel Fuzzy Controller to Enhance Stability of Vehicles, North American Fuzzy Information Processing Society: pp. 410-414, 2007.
  4. L. Yue, C. Tang and H. Li. Research on Vehicle Suspension System Based on Fuzzy Logic Control, International Conference on Automation and Logistics, Qingdao, China, 2008.
  5. M. Kumar. Genetic Algorithm-Based Proportional Derivative Controller for the Development of Active Suspension System, Information Technology and Control, Vol. 36, No. 1: pp.58- 67,2007.
  6. Ales Kruczek, Antonin Stribrsky, Jaroslav Honcu, Martin Hlinovsky.Controller choice for car active suspension. International Journal of Mechanics.V.3,2010.
  7. YM Sam,NM Suaib and Jhs Osman.Prportional integral sliding mode control for half car active suspension system with hydraulic actuator.conf.on Robotics,Control and Manufacturing Tchnology,2008.
  8. R.SPrabakar, C. Sujatha,S. Narayanan.Optimal semi-active preview control response of a half car vehicle model with magnetorheological damper.Journal of sound and vibration 326,pp 400-420,2009.
  9. Iraj Hassanzadeh, Gasem Alizadeh, Naser Pourqorban Shirjoposht, Farzad Hashemzadeh.A new optimal nonlinear approach to half car active suspension control.IACSIT International journal of engineering and technology.vol.2,No.1,2010.
  10. Jianfeng Wang and Chuanxue Song.Computer simulation on fuzzy control of semi active suspension system based on the whole vehicle.International journal of multimedia and ubiquitous engineering.Vol.8,No.6,2013.
  11. Ozgur Demir,Ilknur,Saban Cetin.Modeling and control of a nonlinear half-vehicle suspension system:a hybrid fuzzy logic approach.Nonlinear Dynamic,67,pp 2139-2151,2012.
  12. M. Jamei,M. Mahfouf,D.A. Linkens. Elicitation and finetuning of fuzzy control rules using symbiotic evolution.Fuzzy sets and system 147,pp 57-74,2004.
  13. Lemir Sakman,Rahmi Guclu and Nurkan yagiz.Fuzzy logic control of vehicle suspension with dry friction nonlinearity. Sadhana,v.30,pp 649-659’2005.
  14. Jiangtao Cao,Ping Li, Honghai Liu and David Brown.An interval type-2 fuzzy logic controller for quarter vehicle active suspensions.Journal of automobile engineering.
  15. Ayman A. Aly, A. Al Marakeby, Kamel A. Shoush.Active suspension control of a vehicle system using intelligent fuzzy technique.International journal of scientific and engineering research. V.4,2013.
  16. N. Ebrahimi, A.Gharaveisi.Optimal fuzzy supervisor controller for an active suspension system. International journal of soft computing and engineering,V.2,2012.
  17. A. Aldair and W. J. Wang.Adaptative neuro-fuzzy inference controller for full vehicle non linear active suspension.Iraq J. Electrical and electronic ingrneering.v.6,No .2,2010.
  18. M.A. Eltantawie.Decentralized neuro-fuzzy control for half car with semi active suspension system. International journal of automotive technology,vol.13,pp 423- 431,2012.
  19. Rajeswari Kothandaraman.PSO tuned adaptative neuro-fuzzy controller for vehicle suspension system.Journal of advances in information technology.vol.3,No.1,2012.
  20. Esmailzadeh, E. and Taghirad, H.D. Active Vehicle Suspensions with Optimal State-Feedback Control. Journal of Mechanical Science. 1996. 200(4): 1-18.
  21. Lu-Hang Zong,Xing-Long Gong,Chao-Yang Guo and Shou- Hu Xuan.Inverse neuro-fuzzy MR damper model and its application in vibration control of vehicle suspension system.Vehicle system dynamics.vol.50,No.7,pp 1025- 1041,2012.
  22. Alleyne, A. and Hedrick, J. K. Nonlinear Adaptive Control of Active Suspensions. IEEE Transactions on Control Systems Technology. 3(1): 94-101,1995.
  23. Fialho, I. and Balas, G.J. Road Adaptive Active Suspension DesignUsing Linear Parameter-Varying Gain- Scheduling. IEEE Transactions on Control Systems Technology. 10(1): 43-54,2002
  24. Yoshimura, T., Kume, A., Kurimoto, M., and Hino, J. Construction of An Active Suspension System of A Quarter Car Model Using The Concept of Sliding Mode Control. Journal of Sound and Vibration. 239(2): 187-199,2001
  25. Sam, Y.M. and Osman J.H.S. Modeling and Control of the Active Suspension using Proportional-Integral Sliding Mode Approach. Asian Journal of Control.2(7),pp:91-98.2005
  26. T.Takagi and M. Sugeno,derivation of fuzzy control rules from human operator s control actions.In:Proc.IFAC Symp. On fuzzy information, knowledge representation and decision analysis,pp:55-60, July 1983.
Index Terms

Computer Science
Information Sciences

Keywords

Half-car dynamic system active suspension system PISMC SMC PID controller disturbances

Powered by PhDFocusTM