基于逆模型解耦的风力提水变论域模糊控制

被引：2

作者：

李琳

周国雄

机构：

[1] 中南林业科技大学计算机与信息工程学院

来源：

农业工程学报 | 2013年 / 29卷 / 20期

关键词：

风能; 神经网络; 模糊控制; 逆模型; 变论域;

D O I：

暂无

中图分类号：

S277.9 [排灌机械与设备]; TP273.4 [];

学科分类号：

0815 ; 082802 ; 080201 ; 0835 ;

摘要：

针对风力提水系统风、辅动力存在耦合使控制效果难以保证的问题,该文提出了一种基于逆模型解耦的变论域模糊控制方法。采用神经网络方法辨识风力提水系统的逆系统,并与被控对象进行串联,建立伪线性系统,实现风、辅动力解耦。同时采用模糊控制器对风、辅动力分别进行独立控制,对模糊控制器的论域进行改进,增强系统的环境适应能力。逆模型仿真试验中变量泵控制和柴油机控制量平均误差分别为6.3%和4.5%,实际运行中离心泵的转速平均误差控制在5%以内,说明该文方法能有效抑制风速变化的影响。研究结果对风力提水系统的推广具有重要的意义。

引用

页码：46 / 53

页数：8

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