Modelling and PID control of antilock braking system with wheel slip reduction to improve braking performance

This paper presents the development of a PID controller for an Antilock Braking System (ABS) using vehicle longitudinal model. A Five Degree of Freedom (5-DOF) vehicle longitudinal dynamic model was derived and integrated with an analytical tyre dynamics, the Magic Tyre model. Several transient handling tests are performed such as sudden acceleration and sudden braking test to validate the vehicle model. The model is used as a plant to develop an antilock braking system to control longitudinal slip and reduce the stopping distance. A hydraulic brake model was developed as the brake actuator to produce brake torque. A conventional PID controller has been implemented to deal with the strong nonlinearity in the design of ABS controller. The proposed ABS control structure is shown able to significantly reduce stopping distance and control the longitudinal slip during heavy braking.

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

[2]  J. K. Hedrick,et al.  Longitudinal Control Development For IVHS Fully Automated And Semi - Automated System: Phase III , 1995 .

[3]  Khisbullah Hudha,et al.  Modelling, validation and adaptive pid control with pitch moment rejection of active suspension system for reducing unwanted vehicle motion in longitudinal direction , 2010 .

[4]  Tielong Shen,et al.  Adaptive control approach to uncertain longitudinal tire slip in traction control of vehicles , 2008 .

[5]  Karl Hedrick Brake System Modeling, Control and Integrated Brake/Throttle Switching: Phase I , 1997 .

[6]  Bo Lu,et al.  ABS system design based on improved fuzzy PID control , 2010, 2010 Sixth International Conference on Natural Computation.

[7]  Alix Weekes,et al.  Autonomous Braking Systems and Their Potential Effect on Whiplash Injury Reduction , 2009 .

[8]  Antonio Ortiz,et al.  A fuzzy logic control for antilock braking system integrated in the IMMa tire test bench , 2005, IEEE Transactions on Vehicular Technology.

[9]  Qiang Fu,et al.  Simulation research for quarter vehicle ABS on complex surface based on PID control , 2012, 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet).

[10]  Don-Ha Hwang,et al.  Performance evaluation of antilock brake controller for pneumatic brake system , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[11]  M. Mamat,et al.  Fuzzy logic controller on automated car braking system , 2009, 2009 IEEE International Conference on Control and Automation.

[12]  Shaomin Lou,et al.  Integrated Control of semi-active suspension and ABS based on sliding mode theory , 2010, Proceedings of the 29th Chinese Control Conference.

[13]  Amnon Sitchin Acquisition of Transient Tire Force and Moment Data for Dynamic Vehicle Handling Simulations , 1983 .

[14]  H. Bolandi,et al.  Design and optimization of robust PID controller via stability methods for a class of uncertainty systems , 2007, 2007 Mediterranean Conference on Control & Automation.

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

[16]  Chen Liping,et al.  Hardware-in-the-Loop Simulation of Pneumatic Antilock Braking System Based on Modelica , 2010 .

[17]  J. K. Hedrick Nonlinear controller design for automated vehicle applications , 1998 .

[18]  Ramprasad S. Krishnamachari DESIGN MODEL OF A VACUUM-ASSISTED HYDRAULIC BRAKING SYSTEM , 1996 .

[19]  M.-R. Akbarzadeh-T,et al.  Adaptive discrete-time fuzzy sliding mode control for anti-lock braking systems , 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.

[20]  Khisbullah Hudha,et al.  Development of Antilock Braking System Based on Various Intelligent Control System , 2012 .

[21]  Hans B. Pacejka,et al.  A New Tire Model with an Application in Vehicle Dynamics Studies , 1989 .

[22]  FaZong Li,et al.  Optimization of PID Controller Based on Particle Swam Algorithm for Automobile ABS , 2012 .

[23]  Okyay Kaynak,et al.  A Dynamic Method to Forecast the Wheel Slip for Antilock Braking System and Its Experimental Evaluation , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[24]  T D Gillespie,et al.  Fundamentals of Vehicle Dynamics , 1992 .

[25]  A. El Hajjaji,et al.  Robust Fuzzy Sliding Mode Control for Antilock Braking System , 2007 .

[26]  J. Karl Hedrick,et al.  Brake System Modeling for Simulation and Control , 1999 .

[27]  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).

[28]  Fauzi Ahmad,et al.  Gain Scheduling PID Control with Pitch Moment Rejection for Reducing Vehicle Dive and Squat , 2009 .

[29]  Farhan A. Salem,et al.  An Antilock-Braking Systems (ABS) Control: A Technical Review , 2011 .

[30]  R. Vilanova,et al.  PID tuning for cascade control system design , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

[31]  Fauzi Ahmad,et al.  Design and clamping force modelling of electronic wedge brake system for automotive application , 2013 .

[32]  Wei-Yen Wang,et al.  Stable anti-lock braking system using output-feedback direct adaptive fuzzy neural control , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[33]  Don-Ha Hwang,et al.  Development of antilock braking controller using hardware in-the-loop simulation and field test , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[34]  Wang Jian,et al.  Design of antilock braking system based on variable structure control , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

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

[36]  Leo Laine,et al.  Control Allocation based Electronic Stability Control System for a Conventional Road Vehicle , 2007, 2007 IEEE Intelligent Transportation Systems Conference.

[37]  Jing Li,et al.  Simulation of Fuzzy PI Controller for ABS based on Electromechanical brake system , 2006, 2006 IEEE International Conference on Vehicular Electronics and Safety.

[38]  Kwangjin Lee,et al.  Performance, Robustness, and Durability of an Automatic Brake System for Vehicle Adaptive Cruise Control , 2004 .

[39]  Tore Hägglund,et al.  Advances in Pid Control , 1999 .

[40]  Seibum Choi Antilock Brake System With a Continuous Wheel Slip Control to Maximize the Braking Performance and the Ride Quality , 2008, IEEE Transactions on Control Systems Technology.