| 引用本文: | 林叶锦, 任 光.遗传优化的径向基函数船舶模糊控制器[J].控制理论与应用,2004,21(6):1036~1040.[点击复制] |
| LIN Ye-jin, REN Guang.New radial basis function fuzzy network controller based on genetic algorithms for ship control[J].Control Theory and Technology,2004,21(6):1036~1040.[点击复制] |
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| 遗传优化的径向基函数船舶模糊控制器 |
| New radial basis function fuzzy network controller based on genetic algorithms for ship control |
| 摘要点击 2796 全文点击 1714 |
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| DOI编号 10.7641/j.issn.1000-8152.2004.6.042 |
| 2004,21(6):1036-1040 |
| 中文关键词 径向基函数(RBF)网络 模糊控制 遗传算法 船舶控制 仿真试验 |
| 英文关键词 radial basis function(RBF) network fuzzy control genetic algorithm ship control simulation test |
| 基金项目 交通部博士学位论文基金 (200232522503); 高等学校博士学科点专项科研基金项目 (20030151005); 交通部交通应用基础研究项目(200332922505) |
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| 中文摘要 |
| 研究径向基函数模糊神经网络在船舶控制器设计中的应用 ,设计了一个新型的径向基函数模糊神经网络控制器用以适应船舶在时变和不确定环境下的控制性能要求 .控制器设计的主导思想是在传统的径向基函数神经网络中增加一个模糊隐层 ,并采用遗传算法对控制器参数进行优化 .与传统方法相比 ,控制器模糊规则库的设计过程所需的先验知识更少 .最后采用Matlab 6 .1的Simulink工具以船舶运动模型为对象进行了船舶控制的仿真试验 ,结果证明了其有效性 |
| 英文摘要 |
| The use of radial basis function fuzzy network design for ship control is investigated.An radial basis function fuzzy controller is presented to comply with the requirements of the controlled ship performance under the environments of time-varying factors and uncertainties.The basic idea utilized for the controller design is given of combining a conventional RBF neural network with an additional fuzzy layer to increase the adaptability of the controller and utilizing genetic algorithms to optimize the parameters of the controller.The proposed design procedure for the controller requires less knowledge of the controlled plant in the initial design stage of fuzzy rule base than traditional methods.The performance of the controller is evaluated by system simulation conducted with Simulink tools in Matlab 6.1 and satisfied results are obtained. |