Fuzzy-neural-sliding mode controller and its applications to the vehicle anti-lock braking systems

One of the major problems in designing the controller for the vehicle anti-lock braking system (ABS) is finding the appropriate control algorithms to reject the parameter uncertainties such as friction coefficient, road elevation, wind gust, road superelevation, vehicle absolute speed, and so on. A new class of algorithms is developed by combining the sliding mode control technique and fuzzy logic control theory with artificial neural networks to achieve the following function: to provide the vehicle with sufficient stopping ability without sacrificing the vehicle stability and the steerability. The proposed fuzzy-neural-sliding mode controller shows that the performance of the vehicle ABS was improved when fuzzy-sliding mode controller was combined with artificial neural networks since artificial neural networks have the abilities of learning and adaptation