Numerical simulation of solar greenhouse control system based on fuzzy algorithm

Due to low control performance, poor stability, weak implementation capacity and inaccurate estimation of the traditional Solar Greenhouse switch control system, this paper takes solar greenhouse environment system of northern areas as the research object, considering the effect of temperature and humidity as well as their interaction effect comprehensively, to control Solar Greenhouse in summer and winter mode separately while taking climate differences into consideration. Using limiting average, median value filtering and fuzzy control algorithm to edit control simulation system in edit box SIMULINK of MATLAB, the seasonal fuzzy control system simulation has been realized. The results show, this control system runs stably, responds quickly and adjusts temperature and humidity factors effectively. Thus it can improve greenhouse environment factors rapidly which lead to a rise of the cultivation output. © 2013 by CESER Publications.