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Independent Model Generalized Predictive Controller Design for Antilock Braking System

by M. Hasan Khansari, Mahdi Yaghoobi, Alireza Abaspour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 1
Year of Publication: 2015
Authors: M. Hasan Khansari, Mahdi Yaghoobi, Alireza Abaspour
10.5120/19942-1735

M. Hasan Khansari, Mahdi Yaghoobi, Alireza Abaspour . Independent Model Generalized Predictive Controller Design for Antilock Braking System. International Journal of Computer Applications. 114, 1 ( March 2015), 18-23. DOI=10.5120/19942-1735

@article{ 10.5120/19942-1735,
author = { M. Hasan Khansari, Mahdi Yaghoobi, Alireza Abaspour },
title = { Independent Model Generalized Predictive Controller Design for Antilock Braking System },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 1 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number1/19942-1735/ },
doi = { 10.5120/19942-1735 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:32.939905+05:30
%A M. Hasan Khansari
%A Mahdi Yaghoobi
%A Alireza Abaspour
%T Independent Model Generalized Predictive Controller Design for Antilock Braking System
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 1
%P 18-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wheel slip control is a significant research topics in the field of car stability. Model predictive control is one of the most advanced controller which has received great attention and application in industries. In this paper independent model generalize predictive control (IMGPC) is introduced for anti-lock braking system. This controller is implemented on a linear model of anti-lock braking system, and through the numerical simulation, it is demonstrated that it can control the system in presence of sever noise and disturbances. The simulation results show that the proposed controller has better performance in comparison with other conventional linear controllers.

References
  1. Amir Poursamad, 'Adaptive feedback linearization control of antilock braking systems using neural networks', Mechatronics 19 (2009) 767–773.
  2. A. Abaspour, N. T. Parsa, M. Sadeghi, " A New Feedback Linearization-NSGA-II Based Control Design for PEM Fuel Cell" International Journal of Computer Applications, volume97/ number10/ pp. 17044-7354, July 2014.
  3. A. Abaspour, M. Sadeghi, S. H. Sadati " Optimal Nonlinear Trajectory Control of an Unmanned Helicopter" The 2nd ICRoM International Conference on Robotics and Mechatronics (ICRoM 2014, Tehran, Iran on October 15-17, 2014.
  4. Morteza Dousti, S Caglar Baslam?sli, E Teoman Onder, Selim Solmaz, ' Design of a multiple-model switching controller for ABS braking dynamics'. Transactions of the Institute of Measurement and Control, 1–14, 2014.
  5. Radu-Emil Precup, Marius-Csaba Sabau, Claudia-Adina Dragos, ' Particle Swarm Optimization of Fuzzy Models for Anti-lock Braking Systems', Evolving and Adaptive Intelligent Systems (EAIS), 2014 IEEE Conference on, Linz, Austria, 2-4 June 2014.
  6. A. Johansen, Idar Petersen, Jens Kalkkuhl, Jens Lüdemann, ' Gain-Scheduled Wheel Slip Control in Automotive Brake Systems ' IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 11, NO. 6, NOVEMBER 2003.
  7. N. Raesian, M. Yaghoobi, M. Abedi, ' Fast Model Predictive Controller based on Imperialist Competitive Algorithm for Anti-lock Braking System(ABS) ', ICEE21, 2013.
  8. Anwar, S. and Ashrafi, B. , "A Predictive Control Algorithm for an Anti-Lock Braking System," SAE Technical Paper 2002-01-0302, 2002.
  9. K. S. Holkar, L. M. Waghmare. 'An Overview of Model Predictive Control ' International Journal of Control and Automation Vol. 3 No. 4, Vol. 3 No. 4, December, 2010.
  10. Clarke, D. W. , Mohtadi, C. , Tuffs, P. S. , 1987a. Generalized predictive control—Part I. The basic algorithm. Automatica 23, 137–148.
  11. Clarke, D. W. , Mohtadi, C. , Tuffs, P. S. , 1987b. Generalized predictive control—Part II Extensions and interpretations. Automatica 23, 149–160.
  12. Vincent A. Akpan, George D. Hassapis, " Nonlinear model identification and adaptive model predictive control using neural networks", ISA Transactions Vol. 50, pp. 177–194, 2011.
  13. J. A. Rossiter and G. Valencia-Palomo. 'Feed forward design in MPC', ECC, 2009.
  14. I. Kaminer, A. M. Pascoal, P. P. Khargonekar, and E. E. Coleman, "A velocity algorithm for the implementation of gain-scheduled controllers," Automatica, vol. 31, pp. 1185–1191, 1995.
  15. A. Abaspour, M. Sadeghi, H. Sadati. , "Using Fuzzy Logic In Dynamic Inversion Flight Controller With Considering Uncertainties". (2013 13th Iranian Conference on Fuzzy Systems (IFSC).
Index Terms

Computer Science
Information Sciences

Keywords

Anti-lock braking system generalized predictive control ABS linearized model robustness

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