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A Self Learning Fuzzy Logic Controller for Ship Steering System | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 8, Issue 1, 2012, Pages 25-34 PDF (0 K) | ||
| DOI: 10.33762/eeej.2012.79716 | ||
| Author | ||
| Ammar A. Aldair | ||
| Abstract | ||
| A self learning fuzzy logic controller for ship steering systems is proposed in this paper. Due to the high nonlinearity of ship steering system, the performances of traditional control algorithms are not satisfactory in fact. An intelligent control system is designed for controlling the direction heading of ships to improve the high efficiency of transportation, the convenience of manoeuvring ships, and the safety of navigation. The design of fuzzy controllers is usually performed in an ad hoc manner where it is hard to justify the choice of some fuzzy control parameters such as the parameters of membership function. In this paper, self tuning algorithm is used to adjust the parameters of fuzzy controller. Simulation results show that the efficiency of proposed algorithm to design a fuzzy controller for ship steering system. | ||
| Keywords | ||
| Self Learning; Fuzzy Controller; Ship Steering | ||
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