DocumentCode
1890275
Title
A new and effective fuzzy PID autopilot for ships
Author
Le, Minh-Duc ; Thanh-Ha Nguyen ; Nguyen, Thanh-Ha ; Nguyen, Song-Phi ; Le, Thi-Vi ; Trung-Dong Ngyuen ; Hoang, Thi-Huong ; Hoang, Tien-Dung
Author_Institution
Hiroshima Univ., Japan
Volume
3
fYear
2003
fDate
16-20 July 2003
Firstpage
1411
Abstract
Ship autopilots are usually designed based on the PD and PID controllers because of simplicity, reliability and easy to construct. However their performance in various environmental conditions is not as good as desired. This advantage can be overcome by adjusting works or constructing adaptive controllers. But those methods are complex and not easy. This paper presents a new method for constructing ship autopilots based on combination of fuzzy logic control and linear control. The new ship autopilot has the advantages of both the PID and FLC control methodologies: easy to construct, optimal control laws can be established based on ship masters knowledge. Therefore, the new ship autopilot can be well adapted with parameter variations and strong environment effects. Simulation using MATLAB software for a ship with real parameters in course keeping and course changing maneuvers shows high effectiveness of the new autopilot in comparison with ordinary PID ship autopilots.
Keywords
control system analysis computing; control system synthesis; fuzzy control; optimal control; ships; three-term control; FLC control; MATLAB software; adaptive controllers; fuzzy PID autopilot; fuzzy logic control; linear control; optimal control laws; ship autopilots; ship steering dynamics; Adaptive control; Control theory; Fuzzy logic; Marine vehicles; Mathematical model; Optimal control; PD control; Programmable control; Sliding mode control; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN
0-7803-7866-0
Type
conf
DOI
10.1109/CIRA.2003.1222204
Filename
1222204
Link To Document