An Antilock-Braking Systems (ABS) Control: A Technical Review

Many different control methods for ABS systems have been developed. These methods differ in their theoretical basis and performance under the changes of road conditions. The present review is a part of research project entitled “Intelligent Antilock Brake System Design for Road-Surfaces of Saudi Arabia” In the present paper we review the methods used in the design of ABS systems. We highlight the main difficulties and summarize the more recent developments in their control techniques. Intelligent control systems like fuzzy control can be used in ABS control to emulate the qualitative aspects of human knowledge with several advantages such as robustness, universal approximation theorem and rule-based algorithms.

[1]  Anthony B. Will,et al.  ANTILOCK BRAKE SYSTEM MODELLING AND FUZZY CONTROL , 2000 .

[2]  Masayoshi Tomizuka,et al.  Robust adaptive control using a universal approximator for SISO nonlinear systems , 2000, IEEE Trans. Fuzzy Syst..

[3]  L. Alvarez,et al.  Adaptive emergency braking control using a dynamic tire/road friction model , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[4]  Masayoshi Tomizuka,et al.  An Adaptive Sliding Mode Vehicle Traction Controller Design , 1990, 1990 American Control Conference.

[5]  Adrian Sebastian Paul,et al.  ANALYSIS OF FUZZY CONTROL SOLUTIONS FOR ANTI-LOCK BRAKING SYSTEMS , 2007 .

[6]  Kevin M. Passino,et al.  Fuzzy model reference learning control for cargo ship steering , 1993 .

[7]  R.E. Fenton,et al.  A describing-function approach to antiskid design , 1981, IEEE Transactions on Vehicular Technology.

[8]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[9]  Alessandro Astolfi,et al.  Robust nonlinear output feedback control for brake by wire control systems , 2008, Autom..

[10]  Kyihwan Park,et al.  Optimal robust control of a contactless brake system using an eddy current , 1999 .

[11]  Jung-Shan Lin,et al.  Nonlinear control design of anti-lock braking systems combined with active suspensions , 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

[12]  Anders Rantzer,et al.  Synthesis of a Model-Based Tire Slip Controller , 2002 .

[13]  T.A. Johansen,et al.  Hybrid control strategies in ABS , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[14]  J. K. Hedrick,et al.  Automotive Powertrain Modeling for Control , 1989 .

[15]  Ming-Chang Shih,et al.  Hydraulic anti-lock braking control using the hybrid sliding-mode pulse width modulation pressure control method , 2001 .

[16]  Okyay Kaynak,et al.  A Grey System Modeling Approach for Sliding-Mode Control of Antilock Braking System , 2009, IEEE Transactions on Industrial Electronics.

[17]  Alireza Mohamad Shahri,et al.  Intelligent ABS Fuzzy Controller for Diverse Road Surfaces , 2007 .

[18]  William C. Lin,et al.  Sliding-Mode ABS Wheel-Slip Control , 1992, 1992 American Control Conference.

[19]  P. E. Wellstead,et al.  Analysis and redesign of an antilock brake system controller , 1997 .

[20]  Bülent Özdalyan Development of a slip control anti-lock braking system model , 2008 .

[21]  Zhiqiang Gao,et al.  An application of nonlinear PID control to a class of truck ABS problems , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[22]  Chih-Keng Chen,et al.  PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation , 2004 .

[23]  Masayoshi Tomizuka,et al.  A Discrete-Time Robust Vehicle Traction Controller Design , 1989, 1989 American Control Conference.

[24]  Stephen Yurkovich,et al.  Fuzzy learning control for anti-skid braking systems , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[25]  Kevin M. Passino,et al.  Intelligent control for brake systems , 1999, IEEE Trans. Control. Syst. Technol..

[26]  Erhan AKIN,et al.  DYNAMICAL FUZZY CONTROL WITH BLOCK BASED NEURAL NETWORK , 2005 .

[27]  Chih-Min Lin,et al.  Self-learning fuzzy sliding-mode control for antilock braking systems , 2003, IEEE Trans. Control. Syst. Technol..

[28]  Qian Ming Sliding Mode Controller Design for ABS System , 1997 .

[29]  Georg F. Mauer,et al.  A fuzzy logic controller for an ABS braking system , 1995, IEEE Trans. Fuzzy Syst..

[30]  P Hart Review of heavy vehicle braking systems requirements (PBS vehicle aspects) , 2003 .

[31]  Jens Lüdemann Heterogeneous and hybrid control with application in automotive systems , 2002 .

[32]  Stefan Preitl,et al.  Fuzzy controllers for tire slip control in anti-lock braking systems , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[33]  Kenneth J. Hunt,et al.  Anti-lock braking control using a sliding mode like approach , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[34]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[35]  Sung-Woo Kim,et al.  Design of a fuzzy controller with fuzzy sliding surface , 1995 .

[36]  Byung Kook Kim,et al.  Design of a single-input fuzzy logic controller and its properties , 1999, Fuzzy Sets Syst..

[37]  M. Tomizuka,et al.  Discrete-time controller design for robust vehicle traction , 1990, IEEE Control Systems Magazine.

[38]  R. R. Guntur,et al.  Adaptive Brake Control System , 1972 .

[39]  Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .

[40]  K.M. Passino,et al.  Fuzzy model reference learning control for cargo ship steering , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[41]  K. K. Mahapatra,et al.  Fuzzy logic based integrated control of Anti-lock Brake System and Collision Avoidance System using CAN for electric vehicles , 2009, 2009 IEEE International Conference on Industrial Technology.

[42]  Lars Nielsen,et al.  Vehicle Control Systems , 2005 .

[43]  Yasuo Naitoh,et al.  REAR BRAKE LOCK-UP CONTROL SYSTEM OF MITSUBISHI STARION , 1983 .

[44]  Stephen Yurkovich,et al.  Fuzzy learning control for antiskid braking systems , 1993, IEEE Trans. Control. Syst. Technol..

[45]  Zhi-Quan Qi,et al.  Multiple Model Adaptive Control of Antilock Brake System via Backstepping Approach , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[46]  Pushkin Kachroo,et al.  Sliding mode measurement feedback control for antilock braking systems , 1999, IEEE Trans. Control. Syst. Technol..

[47]  Sergey V. Drakunov,et al.  ABS control using optimum search via sliding modes , 1995, IEEE Trans. Control. Syst. Technol..

[48]  J. S. Yu A robust adaptive wheel-slip controller for antilock brake system , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[49]  Ayman A. Aly Intelligent fuzzy control for antilock brake system with road-surfaces identifier , 2010, 2010 IEEE International Conference on Mechatronics and Automation.

[50]  M. Schinkel,et al.  A new approach to simultaneous stabilisation with D stability and its application to control of antilock braking systems , 2001, 2001 European Control Conference (ECC).

[51]  Heungseob Kim,et al.  A study on an anti-lock braking system controller and rear-wheel controller to enhance vehicle lateral stability , 2007 .