Reference input wheel slip tracking using Neural Network and sliding mode control strategy

The sliding mode controller based on the RBF neural network is presented for the purpose of controlling wheel slip. The drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. The robustness of RBF neural network based sliding mode control system can be improved to some extent. Simulations are performed to demonstrate the effectiveness of the proposed controller, and it is shown that the RBF neural network based sliding mode controller can track any reference input wheel slip.