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Neural Networks Based Analysis of Ship Roll Stabilization

机译:基于神经网络的船舶横摇稳定性分析

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摘要

This paper presents a neural network (NN) controller which is one of the active control methods for a container ship roll stabilizer system. The aim of this study is to constitute neural network controller which uses fins to reduce roll amplitude. During the control operation, the control signal error is used with back-propagation algorithm to update the weights of the neural controller. The obtained results have been compared with the uncontrolled simulation results. The simulation results showed that the performances of controllers are excellent.
机译:本文提出了一种神经网络(NN)控制器,它是集装箱船侧倾稳定器系统的一种主动控制方法。这项研究的目的是要构成一种神经网络控制器,该控制器使用鳍片来减小侧倾幅度。在控制操作期间,控制信号误差与反向传播算法一起使用,以更新神经控制器的权重。将获得的结果与不受控制的仿真结果进行了比较。仿真结果表明,该控制器具有良好的性能。

著录项

  • 来源
  • 会议地点 Constantza(RO);Constantza(RO)
  • 作者单位

    Naval Architecture and Marine Engineering Yildiz Technical University, Faculty of Naval Architecture and Maritime, Barbaras Bulvari, Besiktas, Istanbul TURKEY;

    Naval Architecture and Marine Engineering Yildiz Technical University, Faculty of Naval Architecture and Maritime, Barbaras Bulvari, Besiktas, Istanbul TURKEY;

    Naval Architecture and Marine Engineering Yildiz Technical University, Faculty of Naval Architecture and Maritime, Barbaras Bulvari, Besiktas, Istanbul TURKEY;

    Naval Architecture and Marine Engineering Piri Reis Maritime University, Tuzla-Istanbul TURKEY;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航运企业组织与经营管理;
  • 关键词

    neural network; roll stabilizer system; roll motion;

    机译:神经网络;侧倾稳定器系统;横摇运动;

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