Abstract

An agricultural greenhouse is a complex system with many input features. Taking these features into consideration creates favorable conditions for the production of plants. The parameters are temperature and internal humidity, which have a significant impact on the yield. The aim of this study was to propose a dynamic simulation model in the MATLAB/Simulink environment for experimental validation. In addition, a fuzzy controller for the indoor climate of the greenhouse with an asynchronous motor for ventilation, heating, humidification, etc. has been designed. The model includes an intelligent control system for these drives in order to ensure optimal indoor climate. The dynamic model was validated by comparing simulation results with experimental measurement data. These results showed the effectiveness of the control strategy in regulating the greenhouse indoor climate.

Highlights

  • The greenhouse is a solution for protecting vegetation from diseases and bad weather, being a complex system

  • Its main function is maintaining the internal climate, which is influenced by many factors such as wind speed, solar radiation, external temperature and humidity

  • The proposed system was tested in the MATLAB/Simulink environment using a meteorological database of real measurements

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Summary

Introduction

The greenhouse is a solution for protecting vegetation from diseases and bad weather, being a complex system. A greenhouse is a heat storage system that converts incident solar radiation into heat dissipation This physical process is based on conduction, heat accumulation and convection. The role of each layer is as follows: the greenhouse retains heat (the cover is usually made of plastic film or glass); the indoor air is indoor climate that is controlled by temperature and humidity; plants play a strategic role in water and heat balance due to the evaporation process; soil is characterized by absorption and diffusion of thermal radiation. The proposed system was tested in the MATLAB/Simulink environment using a meteorological database of real measurements This included measurements of solar radiation, wind speed, temperature, and relative humidity. The simulation of temperature and humidity in the greenhouse was carried out using differential equations, the experimental external values were measured using the RTU5023 sensor. The average annual value is close to 4 kW*h/m2 (Fig. 2)

Fuzzy logic controller for the greenhouse
Conclusion
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