Congress Programme

Poster Presentation

F2008-12-001

Fuzzy Applications to Tyre Enviroment

Dr. Valentin Ivanov, Technical University of Ilmenau, Automotive Engineering Department, Germany
Prof. Dr.-Ing. Klaus Augsburg, Technische Universität Ilmenau, Germany
Prof. Vladimir Algin, National Acdemy of Sciences of Belarus, Joint Institute of Mechanical Engineering, Belarus
Dipl.-Ing. Barys Shyrokau, National Acdemy of Sciences of Belarus, Joint Institute of Mechanical Engineering, Belarus

FUZZY APPLICATIONS TO TYRE ENVIRONMENT

Klaus Augsburg (1), Valentin Ivanov (1,2*), Vladimir Algin (3), Barys Shyrokau (3)

1 Technische Universität Ilmenau, Germany 2 Belarusian National Technical University, Belarus 3 National Academy of Sciences, Belarus * Presenting Author

The problems of embedding real-time applications into the vehicle control systems using a tyre as one of control objects are acute. The reason is that many tyre parameters have high level of uncertainty and belongs to the category of chaotic dynamics. One of the appropriate solutions in this area is the use of fuzzy sets in control algorithms.

The paper discusses the problems of applying fuzzy logic methods to the control on tyre interaction with various automotive systems. In this context, the following three-leveled task system can be proposed:

o Tyre - Off-board transportation devices o Tyre - On-board automotive systems o Tyre - Road surface.

Off-board transportation devices, such as components of Intelligent Transportation Systems, allow the indirect estimation of tyre rolling with subsequent transfer of gained information to the various driver assistance systems. For this purpose, a concept of fuzzy controller which provides monitoring of tyre/road friction properties is proposed on a basis of environmental parameters. The information sources in this case are off-board sensors of temperature, moisture and rain intensity. The controller operation is illustrated by appropriate "Software-In-The-Loop" simulation.

The diverse control applications using fuzzy logic can be proposed for on-board automotive systems, however, within the framework of the paper, attention focuses on tyre dynamics control in the form of fuzzy circuit processing the information from common sensors of vehicle dynamics control systems like ESP. The system under consideration allows assessing the actual values of tyre friction, slip and rolling resistance. As methods' approbation the paper deals with results of vehicle dynamics simulation using integrated software environment MATLAB-ADAMS-AMESim.

Fuzzy sets can also give essential assistance during investigations into the tyre/surface interaction. From results of experimental research performed on tyre test rig with software LabView, the interaction models of tyre contact and surface elements, including slipping behaviour, are proposed in relation to various operational factors: contact velocity, tyre loading, inflation pressure, and side slip angle.

The concluding part of the work covers trends in the application of fuzzy control systems to the control processes of tyre/road and tyre/vehicle interaction.

Poster presentation: Simulation and testing