General Fuzzified CMAC Based Model Reference Adaptive Control for Ship Steering

The application of CMAC control techniques for improving the performance of ship steering is discussed. Combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC (GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. Then a GFAC based model reference adaptive controller is described, whose required teacher signals are explicitly constructed by a reference model. Applying the proposed GFAC controller in a ship steering control system, the simulation results show that the ship course can be properly controlled when changing wind and wave exist