Alterable fuzzy sets in automotive control applications

This paper discusses the application of fuzzy sets with dynamically alterable membership functions for automotive control systems. The proposed method covers the building of control algorithms based on fuzzy logic with adjustment of the input and output variable descriptions during the control object operation. An application of alterable fuzzy sets is considered by the examples of two variants for the control processes with the different persistence of fuzzy object. In the former case, the wheel slip control in an active safety system is investigated. The second solution is considered for monitoring of tyre/surface friction properties in Intelligent Transportation Systems (ITSs). The simulation results obtained on Virtual Proving Ground (VPG) illustrate theoretical aspects of the presented research work.