| 基于自适应模糊神经网络的水轮机特性辨识研究 |
| |
| 引用本文： | 王淑青,李朝晖.基于自适应模糊神经网络的水轮机特性辨识研究[J].武汉大学学报(工学版),2006,39(2):24-27. |
| |
| 作者姓名： | 王淑青 李朝晖 |
| |
| 作者单位： | 1. 华中科技大学,湖北,武汉,430074;湖北工业大学,湖北,武汉,430068
2. 华中科技大学,湖北,武汉,430074 |
| |
| 摘 要： | 利用自适应模糊神经网络(ANFIS)较强的非线性逼近能力,建立了辨识模型,对水轮机非线性特性进行了辨识.训练算法采用最小二乘和梯度下降结合的算法来训练参数,模型能很好地辨识水轮机特性,并有一定的透明性,为研究智能水轮发电机控制策略提供了有效的建模方法.
|
| 关 键 词： | 水轮机 ANFIS 径向基函数 模型辨识 |
| 文章编号： | 1671-8844（2006）02-024-04 |
| 收稿时间： | 2005-10-21 |
| 修稿时间： | 2005年10月21 |
Research on identification of hydraulic turbine model based on adapting fuzzy neural networks |
| |
| WANG Shuqing,LI Zhaohui.Research on identification of hydraulic turbine model based on adapting fuzzy neural networks[J].Engineering Journal of Wuhan University,2006,39(2):24-27. |
| |
| Authors: | WANG Shuqing LI Zhaohui |
| |
| Affiliation: | University of Science and Technology, Wuhan 430074, China 2. Hubei University of Technology, Wuhan 430068, China |
| |
| Abstract: | The identifying model of hydraulic turbine based on ANFIS neural networks are established by using the strong approaching ability of ANFIS network.In the design,parameters are trained according to minimization principle and steepest descent method.The designed model can well distinguish the characteristics of hydraulic turbine and is transparent to express the relation between input and output.Thus,the identifying model can lay the good foundation for the study on the intelligent control strategies for hydraulic turbine governor. |
| |
| Keywords: | hydraulic turbine ANFIS radial basis function model identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
