In the past few years the development of embedded systems revolutionized the vehicle
industry, it enabled implementing a wide variety of comfort, safety and environment
protective control algorithms.
In the last decade the ABS (Anti Blocking System), it is an object of the engineers to
develop it and make it more effective. The goal is to sense and set the wheel slip as
accurately as possible. The control task is hard, because in many cases the quality of the
asphalt (material, wetness) is unknown, but steerability and braking distance could be
critical in case of emergency braking.
Therefore besides developing various kinds of functions which make the vehicle more
autonomous, development of ABS has an increased role. For the controlling, besides the
conventional ones they developed various kinds of strategies including those which
applies artificial intelligence.
In my thesis I have set designing, Simulink implementation and control of and ABS model
as a goal. At first I have proposed a genetic algorithm tuned PID controller. After that I
have designed a neuro-fuzzy method based road estimation mechanism, I have based the
next control on the signal of the road estimator.