Design of a New Intelligent Fuzzy Control System of Greenhouse Temperature

被引：2

作者：

Pan, Haipeng ^{[1
]}

Xing, Wei ^{[1
]}

Xu, Sen ^{[1
]}

Lin, Xiaoyong ^{[1
]}

机构：

[1] Zhejiang Sci Tech Univ, Dept Automat, Hangzhou 310018, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

greenhouse temperature; fuzzy neural network; self-turning PID; simulation;

D O I：

10.1109/WCICA.2008.4594329

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Since the characteristics of time-delay, nonlinear and uncertain model structure, and In order to control temperature in greenhouse better, a fuzzy neural network PID control is presented in this paper. The intelligent controller can adjust the parameters according to the variation of system characteristics even if the system model is unknown, and meet the requests of real-time control. The approach shows the characteristics of outstanding adaptability and self-study ability, satisfactory dynamic performance, and certain application values by simulation results.

引用

页码：8869 / 8872

页数：4