Fuzzy control of speed limiter

Abstract

Future regulations of the European Community (EC) require a speed control for the limitation of truck speeds on the European roads. Today's speed limiters consist of an adaptive PID-controller. However, the resulting truck behaviour is not satisfactory compared to an experienced driver. Therefore, the human experience has to be used to improve the design. Some fundamental aspects for the development of a Fuzzy-Logic-Controller (FLC) for limiting the truckspeed are presented in the paper. Simulations of a controller with one and two input variables are shown. It turns out that a FLC can be interpreted as a highly nonlinear control. The resulting control law will be discussed.