Study of Fuzzy Self-Tuning Steering Controller for Ship Course

Ordinary PID(Propovtional Integral Differential) linear controllers commonly used in engineering do not fit with ship course steering control which is nonlinear.In contrast,fuzzy controls fit for nonlinear systems but provide lower accuracy.By combining the ordinary PID control with the fuzzy control,based on Norrbin nonlinear system model and the design procedures of fuzzy self-tuning PID controller,a new algorithm of ship course control,or a fuzzy self-tuning steering controller of ship course is put forward.A 5 446 TEU container carrier is taken as the Simulation case. Matalab Simulation shows that the algorithm has higher precision in both dynamic and steady states with faster response and less overshooting.