Jack-Knife Prevention for Articulated Vehicles Using Self-Organizing Fuzzy Control

In this research the differential braking design for articulated vehicle jackknife prevention is investigated. To handle the variations in the semi-trailer loading condition, a self-organizing fuzzy control that can update its control law through a set of learning algorithms is employed. Two different types of driving scenarios are investigated, namely the constant speed step steering and a fish hook maneuver. Computer simulations, both using a linearized vehicle model and the TruckSim® vehicle model, indicate that the SOFC performs consistently well in tracking the desired fifth wheel angle under different loading conditions