An improved fuzzy logic controller for ship steering based on ior operator and neural rule extraction

In this paper a fuzzy logic controller for ship steering is designed and simulated. The logic ldquoiorrdquo operator as well as wave filtering are used to obtain improved control performance as well as to get over the chattering problem associated with traditional fuzzy controllers. Moreover, an automatic neural networks-based rule generation and justification strategy is suggested to alleviate the need of manual rule extraction and pruning. This has the advantages of near-optimal easy rule generation as well as avoiding errors due to experts overlooking certain aspects of the control problem.