Integrated control of steering and suspension systems for full car models in crosswind and road disturbances

This paper presents an integrated control of steering and suspension systems for full car models in crosswind and road disturbances. The steering control is obtained as the steering angles of the front/rear wheels, and it is composed of the driver steering control due to the driver model, the feed-forward steering control to reduce the effect of the crosswind, and the feedback control by means of fuzzy reasoning to improve the performance of the vehicle handling and stability. The suspension control is constructed through an active suspension force by means of fuzzy reasoning to improve the performance of the vehicle's riding comfort. The estimates for the time evolutions of the disturbances are respectively obtained by means of the minimum-order observer. The fuzzy reasoning is based on the Single Input Rule Modules (SIRMs) to reduce the number of fuzzy control rules. The simulation result indicates that the proposed method is very effective in the performance of the vehicle handling, stability and ride comfort.

[1]  Qin Li,et al.  Active suspension of motor coaches using skyhook damper and fuzzy logic control , 1997 .

[2]  Toshio Yoshimura,et al.  Steering and suspension system of a full car model using fuzzy reasoning and disturbance observers , 2003 .

[3]  A. Szosland,et al.  Fuzzy logic approach to four-wheel steering of motor vehicle , 2000 .

[4]  Harada Hiroshi,et al.  Control of Vehicle Maneuverability and Stability of 4 Wheeled Vehicle by Active Suspension Control with Additional Vertical Load Control. , 1999 .

[5]  Laura E. Ray,et al.  Robust Linear-Optimal Control Laws for Active Suspension Systems , 1992 .

[6]  D. Hrovat,et al.  Survey of Advanced Suspension Developments and Related Optimal Control Applications, , 1997, Autom..

[7]  Kensuke Suzuki,et al.  LATERAL AUTONOMOUS DRIVING BY SLIDING CONTROL , 1994 .

[8]  Antonio Moran,et al.  Optimal Active Control of Nonlinear Vehicle Suspensions Using Neural Networks , 1994 .

[9]  María Jesús López Boada,et al.  Yaw moment control for vehicle stability in a crosswind , 2005 .

[10]  Toshio Yoshimura,et al.  Steering and Suspension System of a Full Car Model Using Fuzzy Reasoning Based on Single Input Rule Modules , 2002 .

[11]  Aleksander B. Hac,et al.  Improvements in vehicle handling through integrated control of chassis systems , 2002 .

[12]  Nurkan Yagiz,et al.  Robust Control of Active Suspensions for a Full Vehicle Model Using Sliding Mode Control , 2000 .

[13]  Masayoshi Tomizuka,et al.  AUTONOMOUS STEERING AND CRUISE CONTROL OF AUTOMOBILES VIA SLIDING MODE CONTROL , 1994 .

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

[15]  A. Titli,et al.  Design of Active and Semi-Active Automotive Suspension Using Fuzzy Logic , 1993 .

[16]  W. Seemann,et al.  The performance of a vehicle with four-wheel steering control in crosswind , 2003 .

[17]  Masayoshi Tomizuka,et al.  Vehicle lateral velocity and yaw rate control with two independent control inputs , 1990, 1990 American Control Conference.

[18]  Toshio Yoshimura,et al.  Steering and suspension system of a full car model using fuzzy reasoning based on single input rule modules , 2002 .

[19]  Abraham Kandel,et al.  Fuzzy Control Systems , 1993 .

[20]  Jianqiang Yi,et al.  SIRMs Dynamically Connected Fuzzy Inference Model Using Dynamic Importance Degrees , 1998 .

[21]  T. Fortmann,et al.  An Introduction to Linear Control Systems , 1977 .

[22]  Edge C. Yeh,et al.  A fuzzy preview control scheme of active suspension for rough road , 1994 .

[23]  Toshio Yoshimura,et al.  An active suspension for a vehicle travelling on flexible beams with an irregular surface , 1990 .