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MICROCLIMATE CONTROL IN GREENHOUSES

Yerkat Mukazhanov

First published: 2017-06-20https://doi.org/10.5593/sgem2017/62/s27.089View metrics

Abstract

The most important stage of technological objects of control algorithms research is to develop an object model that reflects the processes taking place in the facility. Typical solutions for the management objects are based on the simplest models, operating parameters of the abstract. Such models, due to the abstract nature of the parameters do not allow a deep study and modify the characteristics of the object. For more deep research and synthesis of automatic control systems by introducing the interest of model opens the physical basis of the object. We classify existing greenhouse climate models into two types: 1. The principal models using data on the physical processes of heat and mass transfer taking place in a greenhouse. The processes are described by differential equations with parameters having a physical interpretation. 2. Cybernetic when the greenhouse microclimate is seen as a "black box", and examined the relationship of input and output values. The parameters of these models are determined experimental by identification method. Today, there are many works devoted to models of greenhouse microclimate. All these models are taken as the basis of vegetation during photosynthesis. Climate model proposed in, serves as a basis for developing climate models in thermos greenhouses. In this paper the principal model will be use in continuous time.

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Publication details

Title
MICROCLIMATE CONTROL IN GREENHOUSES
Authors
Yerkat Mukazhanov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Nano, Bio and Green - Technologies for a Sustainable Future
Publisher
STEF92 Technology
Year
2017
Pages
699-704
SWS Citekey
Mukazhanov201727699704
ISSN
1314-2704
ISBN
978-619-7408-13-3
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 6

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