MICROCLIMATE CONTROL IN GREENHOUSES

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-13-3 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 62, 699-704 pp, DOI: 10.5593/sgem2017/62/S27.089

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.

Keywords: Operating principle, Heating system, Ventilation and fogging system.