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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue ( 4): 3-    DOI: 10.1631/jzus.2005.A0265
    
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
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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 Agricultural Equipment and Automation Agriculture Electric Engineering     
Received: 02 February 2004     
CLC:  S625.5+1  
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YU Chao-gang
YING Yi-bin
WANG Jian-ping
NOURAIN Jamal
YANG Jia
Cite this article:

YU Chao-gang, YING Yi-bin, WANG Jian-ping, NOURAIN Jamal, YANG Jia. Determining heating pipe temperature in greenhouse using proportional integral plus feedforward control and radial basic function neural-networks. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 4): 3-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A0265     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I 4/3

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