| 基于RBF神经网络的船舶航向模糊控制 |
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| 引用本文： | 施冬梅,仲志燕.基于RBF神经网络的船舶航向模糊控制[J].镇江高专学报,2008,21(3):45-47. |
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| 作者姓名： | 施冬梅 仲志燕 |
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| 作者单位： | 镇江市高等专科学校,电子与信息系,江苏,镇江,212003 |
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| 摘 要： | 船舶自动舵性能的优劣直接关系到船舶的航行安全和经济效益，针对船舶运动具有非线性、大滞后等复杂性的特点，将神经网络和模糊控制应用于船舶运动控制中。仿真结果显示它不仅具有常规控制的性能，而且具有更强的鲁棒性和适应非线性对象的能力。
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| 关 键 词： | 船舶航向 RBF神经网络 模糊控制 |
Fuzzy control based on RBF neural network for ship steering |
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| SHI Dong-mei,ZHON Zhi-yan.Fuzzy control based on RBF neural network for ship steering[J].Journal of Zhenjiang College,2008,21(3):45-47. |
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| Authors: | SHI Dong-mei ZHON Zhi-yan |
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| Institution: | SHI Dong-mei,ZHON Zhi-yan (Electron , Information Department,Zhenjiang College,Zhenjiang 212003,China) |
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| Abstract: | The performance of autopilot is of great importance for a ship to navigate safely and economically.Since the ship performances during its motion have the complex features of nonlinearity and big inertia,this paper carries out the study on neural-fuzzy networks with application to ship control.Through MATLAB simulation analysis,it possesses greater robustness and greater ability to overcome nonlinearity than the regularly control. |
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| Keywords: | ships direction neural network based on RBF fuzzy control |
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