Research on RBFNN sliding mode control and its application in ship course control

Sliding mode variable structure control and RBF neural network has complementary advantages in nonlinear application field. The characteristics of variable structure control and RBF neural network are introduced. Several methods combining variable structure control and RBF network are summarized and studied. Ship motion nonlinear mathematical model is established. A sliding mode controller based on RBF neural network gain adjustment is applied in ship course control and the simulation results show that the chattering of sliding mode control is greatly reduced and better control effect is obtained.