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Improved Adaptive Neural Network Autopilot for Track-keeping Control of Ships: Design and Simulation

Yun-Chul Jung|phung-Hung Nguyen
한국항해항만학회|2006.06|한국항해항만학회지 (Journal of Korean Navigation and Port Reserch)|제30권 제5호|pp. 259-265

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참고문헌

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초록

Abstract

This paper presents an improved adaptive neural network autopilot based on our previous study for track-keeping control of ships. The proposed optimal neural network controller can automatically adapt its learning rate and number of iterations. Firstly, the track-keeping control system of ships is described. For the track-keeping control task, a way-point based guidance system is applied. To improve the track-keeping ability, the off-track distance caused by external disturbances is considered in learning process of neural network controller. The simulations of track-keeping performance are presented under the influence of sea current and wind as well as measurement noise. The toolbox for track-keeping simulation on Mercator chart is also introduced.

참고문헌 (12)

  1. "Adaptive interaction and its application to neural networks", 121, pp.201~215 (1999)
  2. "Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles" (2002)
  3. "GNC Toolbox for MATLAB" (2005)
  4. "An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network (Part I: Theoretical Study)", 29(9), pp.771~776 (2005)
  5. "An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network (Part II: Simulation Study)", 30(2), pp.119~224 (2006)
  6. "A Neural Network Controller by Adaptive Interaction", pp.1247~1252 (2001)
  7. "Adaptive Fuzzy Ship Autopilot for Track-keeping", 11, pp.433~443 (2003)
  8. "Fuzzy Autopilot for Ships Experiencing Shallow Water Effect in Manoeuvring", pp.99~104 (1997), Manoeuvring and Control of Marine Craft, A proceedings volume from the IFAC Conference,
  9. "Improved Fuzzy Autopilot for Track-keeping", pp.123~128 (1998), Control Applications in Maritime Systems, A proceedings volume from the IFAC Conference
  10. "Terrestrial Navigation" (2005), Korea Maritime University.
  11. "Neural network approaches to a class of ship control problems (Part I & II)", 1 (1997)
  12. "Specialized Learning for Ship Intelligent Track-keeping Using Neurofuzzy", pp.291~296 (2004), Proceedings of IFAC-CAMS,

관련 논문AI추천

An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network(Part Ⅱ: Simulation study)phung-Hung Nguyen, Yun-Chul Jung한국항해항만학회 · 한국항해항만학회지2006 · 제30권 제2호An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network(Part Ⅰ: Theoretical study)정연철, Phung-Hung NGUYEN한국항해항만학회 · 한국항해항만학회지2005 · 제29권 제9호Automatic Berthing Control of Ship Using Adaptive Neural NetworksPhung-Hung NGUYEN, Yun-Chul JUNG한국항해항만학회 · 한국항해항만학회지2007 · 제31권 제7호Neural Network Based Rudder-Roll Damping Control System for ShipPhung-Hung Nguyen, Yun-Chul Jung한국항해항만학회 · 한국항해항만학회지2007 · 제31권 제5호Experimental and numerical study of autopilot using Extended Kalman Filter trained neural networks for surface vesselsHung Duc Nguyen, Shuhong Chai, Yuanyuan Wang대한조선학회 · International Journal of Naval Architecture and Ocean Engineering2020 · 제12권 Artificial neural network controller for automatic ship berthing using head-up coordinate systemNamkyun Im, Van-Suong Nguyen대한조선학회 · International Journal of Naval Architecture and Ocean Engineering2018 · 제10권 제3호

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