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Proceedings Paper

Study on the idity fuzzy neural network controller based on improved genetic algorithm of intelligent temperature control system in vegetable greenhouse
Author(s): Su Zhang; Hongbo Yuan; Yuhong Zhou; Nan Wang
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Paper Abstract

In order to create the environment that the suitable crop grows, direct against the characteristic of the system of the greenhouse. The aim of the research was to study the intelligent temperature control system in vegetable greenhouse. Based on computer automatic control ,a kind of intelligent temperature control system in vegetable greenhouse was designed. The design thought of systematic hardwares such as temperature collection system, temperature display, control system, heater control circuit in the heater were expounded in detail The control algorithm of the system was improved and system simulation was made by using MATLAB finally. The control algorithm of the system was improved by a new fuzzy neural network controller. The stimulation curve showed that the system had better controlling and tracking performances ,higher accuracy of controlling the temperature. And this system and host epigyny computer could constitute the secondary computer control system which was favorable for realizing the centralized management of the production.

Paper Details

Date Published: 11 July 2009
PDF: 6 pages
Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74901E (11 July 2009); doi: 10.1117/12.836852
Show Author Affiliations
Su Zhang, Agricultural Univ. of Hebei (China)
Hongbo Yuan, Agricultural Univ. of Hebei (China)
Yuhong Zhou, Agricultural Univ. of Hebei (China)
Nan Wang, Agricultural Univ. of Hebei (China)


Published in SPIE Proceedings Vol. 7490:
PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering

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