Modeling and simulation of a solar greenhouse with natural ventilation based on error optimization using fuzzy controller

Most of greenhouse temperature prediction models are using only one kind of modeling methods, mechanism modeling or experimental modeling, moreover, most of which are for greenhouses with heating and humidifying equipment. Temperature prediction model of solar greenhouses with the natural ventilation is not comprehensive. This paper proposes a temperature prediction model combining the advantages of two modeling methods with fuzzy control on account of solar greenhouses with natural ventilation. The simulation results indicate that the accuracy of absolute error, which is less than 2.5°C, of the model is 83% ∼ 86%, the average errors of the model are all around ±0.85°C, and the mean square errors of the model are all less than 0.05°C, which are better than the other two models only using one kind of modeling method. The developed model can be further used for regulating and controlling the solar greenhouses with natural ventilation.