NDLI: Comparative analysis of Mamdani and Sugeno type fuzzy autopilots for ships

Content Provider	IEEE Xplore Digital Library
Author	Vukic, Z. Velagic, J.
Copyright Year	1999
Description	Author affiliation: Dept. of Control & Comput. Eng. in Autom., Univ. of Zagreb, Zagreb, Croatia (Vukic, Z.) \|\| Fac. of Electr. Eng., Univ. of Sarajevo, Sarajevo, Bosnia-Herzegovina (Velagic, J.)
Abstract	In this paper a comparative analysis of Mamdani and Sugeno type fuzzy autopilots for ships is given. Both autopilots have two inputs: the heading signal and the yaw rate signal, and only one output: command rudder angle. Input variable fuzzification, fuzzy associative memory (FAM) rules, and output set defuzzification are described. The control system for the course-keeping composed of the nonlinear ship, the steering gear servo system, fuzzy autopilot and wave disturbance is described. Both autopilots are compared in three different sailing conditions: without wave disturbance, with wave disturbance and with wave disturbance and wave filtering. The notch filter was used for filtering of second-order wave disturbances. The influence of wave disturbance on course-keeping performance was analyzed. Even though the obtained performance in simulations are very similar, authors prefer Sugeno type fuzzy autopilot, due to less strain of the steering gear servo system and faster and more accurate heading obtained.
Starting Page	1369
Ending Page	1374
File Size	378964
Page Count	6
File Format	PDF
ISBN	9783952417355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-31
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	EUCA
Subject Keyword	Wave model Fuzzy sets Gears Ship control Mathematical model Marine vehicles Servomotors Niobium Fuzzy autopilot
Content Type	Text
Resource Type	Article

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