An investigation into unified chassis control scheme for optimised vehicle stability and manoeuvrability

This paper describes a unified chassis control (UCC) strategy to improve the lateral stability andmanoeuvrability of vehicles by integrating individual chassis control modules such as electronic stability control (ESC), active front steering (AFS) and continuous damping control (CDC). In order to achieve a target lateral vehicle response, an integrated AFS and four individual wheel braking controls have been used for an optimum distribution of longitudinal and lateral tyre forces the desired yaw moment for lateral stability has been designed by the sliding control method using a planar bicycle model and taking into consideration cornering stiffness uncertainties. The desired yaw moment is generated by the coordinated control of AFS and ESC. Optimal coordination of the control authority for the AFS and the ESC has been determined to minimise longitudinal deceleration. Estimated vertical tyre forces have been used for the optimum distribution of the longitudinal and lateral tyre forces. For the improved performance of the lateral stability control system, the damping forces at the four corners have been controlled to minimise roll angle by the CDC system. The response of the vehicle to the UCC system has been evaluated via computer simulations using vehicle dynamic software CarSim and a UCC controller coded with Matlab/Simulink. Computer simulations of a closed-loop driver–vehicle–controller system subjected to double lane change have been carried out to prove the improved performance of the proposed UCC strategy over a conventional ESC.

[1]  Junmin Wang,et al.  Coordinated vehicle dynamics control with control distribution , 2006, 2006 American Control Conference.

[2]  Byung-Hak Kwak,et al.  A Study on Optimal Yaw Moment Distribution Control Based on Tire Model , 2007 .

[3]  David Crolla,et al.  IVMC: Intelligent Vehicle Motion Control , 2002 .

[4]  L. Guvenc,et al.  Coordination of steering and individual wheel braking actuated vehicle yaw stability control , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[5]  Kyongsu Yi,et al.  Model-based Estimation of Vehicle Roll State for Detection of Impending Vehicle Rollover , 2007, 2007 American Control Conference.

[6]  Laura Ryan Ray,et al.  Nonlinear state and tire force estimation for advanced vehicle control , 1995, IEEE Trans. Control. Syst. Technol..

[7]  Shih-Ken Chen,et al.  Vehicle State Estimation for Roll Control System , 2007, 2007 American Control Conference.

[8]  Kyongsu Yi,et al.  Estimation of Tire-Road Friction Using Observer Based Identifiers , 1999 .

[9]  Eiichi Ono,et al.  Vehicle dynamics integrated control for four-wheel-distributed steering and four-wheel-distributed traction/braking systems , 2006 .

[10]  Seyed Jafar Sadjadi,et al.  Integrating goal programming, Kuhn-Tucker conditions, and penalty function approaches to solve linear bi-level programming problems , 2008, Appl. Math. Comput..

[11]  Feng Gao,et al.  Study on integrated control of active front steer angle and direct yaw moment , 2002 .

[12]  Fan Yu,et al.  Investigation on integrated vehicle chassis control based on vertical and lateral tyre behaviour correlativity , 2006 .

[13]  Ossama Mokhiamar,et al.  Simultaneous Optimal Distribution of Lateral and Longitudinal Tire Forces for the Model Following Control , 2004 .

[14]  Fan Yu,et al.  INTEGRATED VEHICLE CHASSIS CONTROL WITH A MAIN/SERVO-LOOP STRUCTURE , 2006 .

[15]  John A. Grogg,et al.  Algorithms for Real-Time Estimation of Individual Wheel Tire-Road Friction Coefficients , 2006, IEEE/ASME Transactions on Mechatronics.