Adaptive RBF Neural Network Sliding Mode Control for Ship Course Control System

For ship course control system, this paper proposes a class of sliding mode variable structure control method (SMVSC) based on RBF neural network. The mathematical model of ship steering system possesses parametric perturbation and external disturbances, which combines the advantages of RBF neural network and sliding mode control. The controller is given by the output of RBF neural network and the weights of neural network can be adjusted online according to the sliding mode reaching law. Simulation results illustrate the effectiveness and robustness of the proposed algorithm.