| 船舶航向在线自学习智能控制方法 |
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| 引用本文： | 卓永强,方祥麟.船舶航向在线自学习智能控制方法[J].大连海事大学学报(自然科学版),2007,33(2):75-79. |
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| 作者姓名： | 卓永强 方祥麟 |
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| 作者单位： | [1]大连水产学院,海洋工程学院,辽宁大连116023 [2]浙江交通职业技术学院,海运学院,杭州311112 |
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| 基金项目： | 教育部留学回国人员科研启动基金 |
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| 摘 要： | 为更快更好地控制船舶在预定航线上航行,提出一种船舶航向在线自学习模糊神经网络智能控制方法.模糊子集处理船舶控制中的不确切信息,通过神经网络训练模糊推理系统中的参数,旨在把模糊推理和神经网络融合,使船舶航向智能控制器具有在线自学习功能.该方法能实时控制风流扰动下作为非线性时变系统的船舶而无须依赖船舶运动数学模型.模拟试验结果表明,即使在有环境扰动情况下,该方法也能很好地控制具有很大惯性船舶的航向.
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| 关 键 词： | 船舶航向 航向保持 智能控制 在线自学习 模糊神经网络 |
| 文章编号： | 1006-7736（2007）02-0075-05 |
| 修稿时间： | 2007-03-22 |
On-line self-learning ship course-keeping intelligent control method |
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| ZHUO Yong-qiang,FANG Xiang-lin.On-line self-learning ship course-keeping intelligent control method[J].Journal of Dalian Maritime University,2007,33(2):75-79. |
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| Authors: | ZHUO Yong-qiang FANG Xiang-lin |
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| Institution: | 1. School of Ocean Engineering ,Dalian Fisheries University, Dalian 116023, China; 2. College of Navigation, Zhejiang Institute of Communications, Hangzhou 311112, China |
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| Abstract: | An on-line ship course-keeping intelligent control method was developed to control a ship on a designed course with a self-learning algorithm. A neurofuzzy controller was proposed. A fuzzy set handled imprecise information in ship control, and combined fuzzy inferences with neural network by training the parameters of fuzzy inference system through neural network. This method enables a nonlinear ship with big inertia to be real time controlled under wind and current disturbances, and it does not depend on ship mathematics model. The simulation results show that the method proposed can control ship course-keeping quite well even under environmental disturbances. |
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