Abstract
This paper uses second-order sliding mode observers to build up an estimation scheme allowing to identify the tyre longitudinal equivalent stiffness and the effective wheel radius using the existing ABS angular sensors. This estimation strategy, based on use of the proposed observer could be used with data acquired experimentally to identify the longitudinal stiffness and effective radius of vehicle tyres. The actual results show effectiveness and robustness of the proposed method.
Highlights
Car accidents occur for several reasons which may involve the driver or components of the vehicle or environment
It is extremely important to detect a tendency towards instability. This has to be done without adding expensive sensors, so it requires quite robust observers looking forward based on the physics of interacting systems
It is possible to apply a dynamic form of the Least Square identification algorithm to estimate the parameter vector with the knowledge of z2 the regression vector deduced from the measurements and observations of φ1
Summary
Car accidents occur for several reasons which may involve the driver or components of the vehicle or environment. It is extremely important to detect (on time) a tendency towards instability This has to be done without adding expensive sensors, so it requires quite robust observers looking forward based on the physics of interacting systems (the vehicle, the driver and the road). The knowledge of tyre parameters and variables (stiffness, forces, velocities, wheel slip and radius) is essential to advanced vehicle control systems such as ABS, Traction Control Systems (TCS) and ESP (M’Sirdi et al, 2007, 2008). The deterministic tyre models encountered are complicated and depend on several factors (as load, tyre pressure, environmental characteristics, etc.) (Dugoff and Segel, 1970; Pacejka and Besseling, 1997; Clover and Bernard, 1998) This makes online estimation of forces and parameters difficult for vehicle control applications and detection and diagnosis for driving monitoring and surveillance (Rabhi et al, 2003). It can be used in several vehicle control systems such as ABS, TCS, diagnosis systems, etc
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
