An adaptive fuzzy hierarchical control for maintaining solar greenhouse temperature

Abstract The problem of achieving greenhouse temperature control has traditionally been solved by using artificial intelligence techniques as the main criterion. This paper addresses the solar greenhouse temperature control problem using a hierarchical control approach. The objective is to determine the relationship among diurnal temperature, nocturnal temperature and climatic control set-points for improved crop growth. By implementing the output to track control, this paper proposes an adaptive fuzzy control method to maintain a greenhouse temperature. Due to the climatic variables used in obtaining the fuzzy control model, the model is used to open the rolling curtain at the right time. It can control greenhouse temperature which is suitable for the growth of crops when freezing occurs. By considering tomato cultivation as an example, illustrative results show this fuzzy method can control the rolling curtain well enough, in which the diurnal and nocturnal temperatures inside the greenhouse are well-tracked.

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