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http://dx.doi.org/10.5394/KINPR.2006.30.2.119

An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network (Part II: Simulation Study)  

Nguyen Phung-Hung (Graduate school, Korea Maritime University)
Jung Yun-Chul (Div. of Navigation Systems Engineering, Korea Maritime University)
Publication Information
Journal of Navigation and Port Research / v.30, no.2, 2006 , pp. 119-124 More about this Journal
Abstract
In Part I(theoretical study) of the paper, a new adaptive autopilot for ships based on Adaptive Neural Networks was proposed. The ANNAI autopilot was designed for course-keeping, turning and track-keeping control for ships. In this part of the paper, to show the effectiveness and feasibility of the ANNAI autopilot and automatic selection algorithm for learning rate and number of iterations, computer simulations of course-keeping and track-keeping tasks with and without the effects of measurement noise and external disturbances are presented. Additionally, the results of the previous studies using Adaptive Neural Network by backpropagation algorithm are also showed for comparison.
Keywords
Adaptive neural networks; Adaptive interaction; Autopilot; Course-keeping and Turning control; Track-keeping control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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