A comparative study of two control schemes for anti-lock braking systems

The commercial Bang-Bang anti-lock braking system has several short-comings. Therefore, there is the need for continual improvement on the ABS control strategy. One of the problems associated with these short-comings includes the physical shock experienced by drivers through the brake petal pulsation, when the system is activated. A non-linear and a neural network-based alternative ABS control schemes are proposed and evaluated. The main goal is for the ABS controller to maintain optimal system performance in terms of slip regulation and minimising the vehicle stopping distance during hard-braking. A comparative analysis of the two ABS controllers based on simulation results, showed the neural network-based controller to be superior.

[1]  Ian R. Petersen,et al.  Wheel Slip Control in ABS Brakes using Gain Scheduled Optimal Control with Constraints , 2003 .

[2]  S.M. Savaresi,et al.  Robust Nonlinear Proportional-Integral Control for Active Braking Control Systems , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[3]  J. O Pedro,et al.  Neural network based feedback linearisation slip control of an anti-lock braking system , 2009, 2009 7th Asian Control Conference.

[4]  Frank L. Lewis,et al.  Adaptive Feedback Linearization Using Efficient Neural Networks , 2001, J. Intell. Robotic Syst..

[5]  Mehdi Mirzaei,et al.  A novel method for non-linear control of wheel slip in anti-lock braking systems , 2010 .

[6]  Adel Akbarimajd,et al.  NARMA-L2 controller for 2-DoF underactuated planar manipulator , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[7]  E Hertz,et al.  ANALYSIS OF THE CRASH EXPERIENCE OF VEHICLES EQUIPPED WITH ALL WHEEL ANTILOCK BRAKING SYSTEMS (ABS) - A SECOND UPDATE INCLUDING VEHICLES WITH OPTIONAL ABS , 2000 .

[8]  Honghai Liu,et al.  State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies , 2008, IEEE Transactions on Intelligent Transportation Systems.

[9]  Ernest Barany,et al.  Nonlinear control of power network models using feedback linearization , 2005, Circuits, Signals, and Systems.

[10]  Niels Kjølstad Poulsen,et al.  Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook , 2000 .

[11]  Okyay Kaynak,et al.  Simulated and experimental study of antilock braking system using grey sliding mode control , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[12]  Jimoh O. Pedro,et al.  Enhanced slip control performance using nonlinear passive suspension system , 2011, 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

[13]  S. Anwar,et al.  An anti-lock braking control system for a hybrid electromagnetic/electrohydraulic brake-by-wire system , 2004, Proceedings of the 2004 American Control Conference.

[14]  Yan-e Mao,et al.  Adaptive global sliding mode control strategy for the vehicle antilock braking systems , 2009, 2009 American Control Conference.

[15]  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).

[16]  Wahyudi,et al.  Real time implementation of NARMA L2 feedback linearization and smoothed NARMA L2 controls of a single link manipulator , 2008, 2008 International Conference on Computer and Communication Engineering.

[17]  Laxmidhar Behera,et al.  Intelligent Systems and Control Principles and Applications , 2010 .

[18]  Stefan Solyom.  Control of systems with limited capacity , 2004 .

[19]  O. De Jesus,et al.  Smoothing the control action for NARMA-L2 controllers , 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

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

[21]  A. J. Krener.  Feedback linearization , 1998 .

[22]  Arun K. Samantaray,et al.  Evaluation of antilock braking system with an integrated model of full vehicle system dynamics , 2011, Simul. Model. Pract. Theory.

[23]  Aidan O'Dwyer,et al.  Handbook of PI and PID controller tuning rules , 2003 .

[24]  Amanda Kate Delaney,et al.  Effectiveness of ABS and Vehicle Stability Control Systems , 2004 .

[25]  C J Kahane,et al.  PRELIMINARY EVALUATION OF THE EFFECTIVENESS OF ANTILOCK BRAKE SYSTEMS FOR PASSENGER CARS , 1994 .

[26]  Amir Poursamad,et al.  Adaptive feedback linearization control of antilock braking systems using neural networks , 2009 .