Abstract
Neuro-fuzzy control technology was applied to marine autopilot.The nero-fuzzy controller for autopilot was designed in this paper.Learning ability of neural network was utilized to optimize the fuzzy controller.Hybrid learning rule a combination of Back Propagation algorithm BP and Least Square Estimator LSE was utilized to realize parameter adjustment of fuzzy control rule and membership function in order to improve the adaptive capacity of the controller.The simulation result shows that the controller designed is effective and feasible to satisfy the control performance requirements when marine is under wave interference.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
