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Journal of Zhejiang University SCIENCE A

ISSN 1673-565X(Print), 1862-1775(Online), Monthly

2005 Vol.6 No.4 P.265-269

Determining heating pipe temperature in greenhouse using proportional integral plus feedforward control and radial basic function neural-networks

YU Chao-gang, YING Yi-bin, WANG Jian-ping, NOURAIN Jamal, YANG Jia

Institude of Modern Agricultural Equipment and Automation, Zhejiang University, Hangzhou 310029, China; Department of Agriculture Electric Engineering, Talimu Agriculture University, Talimu 843300, China

ybying@zju.edu.cn

Abstract: Proportional integral plus feedforward (PI+FF) control was proposed for identifying the pipe temperature in hot water heating greenhouse. To get satisfying control result, ten coefficients must be adjusted properly. The data for training and testing the radial basic function (RBF) neural-networks model of greenhouse were collected in a 1028 m2 multi-span glasshouse. Based on this model, a method of coefficients adjustment is described in this article.

Key words: PI control, Greenhouse, Temperature, Neural networks


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DOI:

10.1631/jzus.2005.A0265

CLC number:

S625.5+1

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Received:

2004-02-02

Revision Accepted:

2004-06-17

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