Modelling and Control of Four-Wheel Anti-lock Braking System

Majlesi Journal of Electrical Engineering

مقاله 5، دوره 6، شماره 2، شهریور 2012   

نوع مقاله: Review Article

نویسندگان

javad Mashayekhifard^{* 1}؛ M.A. Nekoui²؛ A. Khaki Sedigh²

¹Department of Electrical Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran

²Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

چکیده

Minimal stopping distance, guaranteed steering ability and stability are the three most important purposes in Anti-lock Braking System (ABS) realm. The ABS system is a nonlinear, time variant and multivariable system with some uncertainties. Some research work has been carried out on ABS control systems using intricate methods which are expensive to implement. In this paper at the first step the system interference is decreased via decoupling matrix and the ABS is controlled with a robust diagonal controller. In fact, a decentralized control technique is used for our ABS control mechanism. At the second step we exploit a multivariable technique in linear control to attack the problem. This is the Designed Linear Control with Multivariable Technique. The Optimal Eigenstructure Assignment with Genetic Algorithm (GA) method is also applied. Simulation and comparison studies are used to show the effectiveness of the proposed methods.

کلیدواژه‌ها

en

مراجع

[1] J. R. Layne, K. M. Passino and S. Yurkovich, “Fuzzy Learning Control for Antiskid Braking Systems”, IEEE Trans. Control Systems Technology, Vol.1, No.2, pp. 122-129, 1993.

[2] W.Y. Wang, K.C Hsu, T.T Lee and G.M Chen, “Robust Sliding Mode-like Fuzzy Logic Control for Anti-lock Braking systems with Uncertainties and disturbances”, Proceedings of the Second International Conference On Machine Learning and Cybernetics, Xi’an, pp. 633-638, 2003.

[3] Y. Liu and J. Sun, “Target slip tracking using Gain-Scheduling for Antilock Braking Systems”, Proceedings of the American Control Conference, Seattle, pp. 1178-1182, 1995.

[4] J.S. Yu, “A Robust Adaptive Wheel-Slip Controller for Antilock Brack System”, Proceedings of the 36th Conference on Decision & Control Applications, Sandi ego, USA, pp. 2545-2546, 1997.

[5] Y. Lee and S. Zak, “designing a Genetic Neural Fuzzy Antilock-Brake-system Controller”, IEEE Trans. Evolutionary Computation, Vol.6, No.2, pp. 198-211, 2002.

[6] W.K Lennon, K.M Passino, “Intelligent Control for Brake systems”, IEEE Trans. Control Systems Technology, Vol.7, No.2, pp.188-202, 1999.

[7] L. I. Davis, G. V. Puskorius, F. Yuan, and L. A. Feldkamp. “Neural Network Modeling and Control of an Anti-Lock Brake System” Proceedings of the Intelligent Vehicles '92 Symposium, Michigan, pp. 179-184, 1992.

[8] F. Jiang, Z. Gao, “an Application of Nonlinear PID Control to a Class of Truck ABS Problem”, Proceedings of the 40TH IEEE Conference on Decision and Control, Orlando, USA, pp. 516-521, 2001.

[9] C.Unsal and P. Kchroo, “Sliding Mode Measurement Feedback Control for Antilock Braking Systems”, IEEE Trans. Control Systems Technology, Vol.7, No.2, pp.271-281, 1999.

[10] J.Mack, “ABS-TCS-VDC, Where Will the Technology lead us?” Society of Automotive Engineers Inc, No.PT-57, USA, 1989.

[11] S. Taheri, “An Investigation and Design of Slip Control Braking Systems Integrated with Four Wheel Steering”, Ph.D. Thesis, Clemson University, USA, 1990.

[12] S. Drakunov, U. Ozguner, P. Dix, B. Ashrafi, “ABS Control Using Optimum Search via Sliding Mode”, IEEE Trans. Control Systems Technology, Vol.3, No.1, pp. 79-85, 1995.

[13] J. M. Maciejowski, “Multivariable Feedback Design”, Addison-Wesley, UK, 1989.

[14] Astrom K, Hagglund T, “PID Controllers: Theory, Design and Tuning”, Instrument Society of America, 1995.

[15] G. P. Liu and R. J. Patton, “Eigenstructure Assignment for Control System Design”, Wiley, Chichester, New York, 1998.

[16] J.J.Dazzo and C.H.Houppis, “Linear Control system Analysis and Design”, McGraw-Hill, New York, 1988.

[17] M.Fahmy and J.Reilly, “Eigenstructure assignment in linear multivariable systems parametric solution”, IEEE Trans. Automatic Control, Vol. 28, Issue 10, pp. 990 – 994, 1983.

[18] V. Mehrmann and H. Xu, “An Analysis of the Pole Placement Problem II. The Multi-Input Case”, Electronic Trans. Numerical Analysis, Vol. 5, pp. 77-97. 1997.

[19] [19] D.E Goldberg, “Genetic Algorithms in Search, Optimization and Machine Learning”, Addison-Wesley Publishing Company, USA, 1989.

[20] [20] G. Mitsuo and C. Ranwei, “Genetic Algorithms and Engineering Design”, John Wiley, USA, 1996.