Journal of Navigation and Port Research 2006;30(2):119-124.
Published online March 30, 2006.
Part II: Simulation Study
,
An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network
Phung-hung Nguyen, Yun-Chul Jung
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.
Key Words: Adaptive neural networks;Adaptive interaction;Autopilot;Course-keeping and Turning control; Track-keeping control


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