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

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/260903
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Journal of Korean Navigation and Port Reserch (한국항해항만학회지)
한국항해항만학회 (Korean Institute of Navigation and Port Research)
초록

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.

저자
  • Phung-Hung Nguyen
  • Yun-Chul Jung