Design of active steering and intelligent braking systems for road vehicle handling improvement: A robust control approach

Linear Matrix Inequality (LMI) based robust control tools are used for the design of active steering and intelligent braking controllers for handling improvement of road vehicles. Vehicle plane dynamics are expressed in the generic Linear Parameter Varying (LPV) form and static state feedback controllers ensuring robust performance against changing road conditions are designed. First, stable braking on split μ road is taken into consideration. Simulations reveal efficiency of active steering when compared to intelligent braking, ensuring both high vehicle deceleration and low yaw rate and body side slip angle build-up for relatively high μ gradient. Second, the performance of intelligent braking is tested during cornering maneuvers on low μ roads. In all cases, it is shown that static state feedback controllers obtained by the proposed design method can achieve acceptable road handling performance.

[1]  Kazuhiko Shimada,et al.  IMPROVEMENT OF VEHICLE MANEUVERABILITY BY DIRECT YAW MOMENT CONTROL. , 1992 .

[2]  Hans B. Pacejka,et al.  Tyre Modelling for Use in Vehicle Dynamics Studies , 1987 .

[3]  A. T. van Zanten,et al.  Bosch ESP Systems: 5 Years of Experience , 2000 .

[4]  Said Mammar,et al.  Vehicle Handling Improvement by Active Steering , 2002 .

[5]  Shun'ichi Doi,et al.  Bifurcation in vehicle dynamics and robust front wheel steering control , 1998, IEEE Trans. Control. Syst. Technol..

[6]  Christopher Edwards,et al.  Automotive Steering Control in a Split-µ Manoeuvre Using an Observer-Based Sliding Mode Controller , 2004 .

[7]  Jürgen Ackermann YAW RATE AND LATERAL ACCELERATION FEEDBACK FOR FOUR-WHEEL STEERING , 1994 .

[8]  John C Dixon,et al.  Tyres, suspension, and handling , 1991 .

[9]  C. Scherer,et al.  Lecture Notes DISC Course on Linear Matrix Inequalities in Control , 1999 .

[10]  Ossama Mokhiamar,et al.  Active wheel steering and yaw moment control combination to maximize stability as well as vehicle responsiveness during quick lane change for active vehicle handling safety , 2002 .

[11]  Jens Kalkkuhl,et al.  Wheel slip control using gain-scheduled LQ — LPV/LMI analysis and experimental results , 2003, 2003 European Control Conference (ECC).

[12]  Timothy Gordon,et al.  A comparison of braking and differential control of road vehicle yaw-sideslip dynamics , 2005 .

[13]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.

[14]  Jon Rigelsford,et al.  Automotive Control Systems: For Engine, Driveline and Vehicle , 2004 .

[15]  John C. Dixon,et al.  Tires, Suspension and Handling, Second Edition , 1996 .

[16]  Jürgen Ackermann,et al.  Advantages Of Active Steering For Vehicle Dynamics Control , 1999 .