The problem of changing and stable ship’s course control is considered. Main limitations and drawbacks of conventional heading control autopilots are analyzed. Fuzzy control system is proposed to solve the problem of effective filtering of ship’s yawing. Nonlinear autoregressive model neural controller is proposed for better compensation of ship’s changing dynamics during maneuvering. The conclusion is made as to the benefits of such approach.
ship’s heading, autopilot, fuzzy control, neural controller, nonlinear autoregression, yawing, PID control
"Yspolzovanye neiro-nechetkykh kontrollerov v systemakh upravlenyia dvyzhenyem morskykh sudov" ,
Scientific Works of Kharkiv National Air Force University,