Side force coefficient estimation for the design of active brake control

In this paper an active brake control to reduce the rollover risk of heavy vehicles is proposed. The brake system is activated when the vehicle comes close to rolling over. In order to enhance the performance of the active brake, the braking algorithm is extended with an estimation procedure of the side force coefficient in order to use it in control. The estimated value of the side force coefficient is applied as an additional scheduling variable in the linear parameter varying (LPV) based control design. The brake is activated at the appropriate time and reduces the rollover risk without delay when the changing of the side force coefficient is taken into consideration in the LPV model, thus the control guarantees the safe operation of the brake. The control design is based on the LPV model of yaw-roll dynamics of heavy vehicles. In the control design both the performance demands and the model uncertainties are taken into consideration

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

[2]  Lawton H. Lee,et al.  Control of linear parameter-varying systems using dynamic parameter measurement , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[3]  Péter Gáspár,et al.  Reconfigurable control structure to prevent the rollover of heavy vehicles , 2005 .

[4]  A. Packard,et al.  Control of Parametrically-Dependent Linear Systems: A Single Quadratic Lyapunov Approach , 1993, 1993 American Control Conference.

[5]  Young-Pil Park,et al.  Investigation of robust roll motion control considering varying speed and actuator dynamics , 2004 .

[6]  Uwe Kiencke,et al.  Automotive Control Systems , 2005 .

[7]  G. L. Gissinger,et al.  A mechatronic conception of a new intelligent braking system , 2000 .

[8]  Gregory Becker Additional Results on Parameter-Dependent Controllers for LPV Systems , 1996 .

[9]  Huei Peng,et al.  Differential-Braking-Based Rollover Prevention for Sport Utility Vehicles with Human-in-the-loop Evaluations , 2001 .

[10]  Qinghua Zhang,et al.  Adaptive observer for multiple-input-multiple-output (MIMO) linear time-varying systems , 2002, IEEE Trans. Autom. Control..

[11]  Qinghua Zhang,et al.  Adaptive observer with exponential forgetting factor for linear time varying systems , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[12]  Dirk Odenthal,et al.  Damping of vehicle roll dynamics by gain scheduled active steering , 1999, 1999 European Control Conference (ECC).

[13]  László Palkovics,et al.  Roll-over prevention system for commercial vehicles - additional sensorless function of the electronic brake system , 1999 .

[14]  David Cebon,et al.  Active Roll Control of Single Unit Heavy Road Vehicles , 2003 .

[15]  Fen Wu,et al.  Induced L2‐norm control for LPV systems with bounded parameter variation rates , 1996 .