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首页> 外文期刊>International Journal of Applied Mathematics & Statistics >Numerical Simulation of Solar Greenhouse Control System Based on Fuzzy Algorithm
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Numerical Simulation of Solar Greenhouse Control System Based on Fuzzy Algorithm

机译：基于模糊算法的日光温室控制系统的数值模拟

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摘要

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.
机译：由于传统的日光温室开关控制系统的控制性能低，稳定性差，执行能力弱以及估算不准确，本文以北方地区的日光温室环境系统为研究对象，同时考虑了温度和湿度的影响以及它们的影响。全面的交互作用，在考虑气候差异的同时，分别控制夏季和冬季的日光温室。利用极限均值，中值滤波和模糊控制算法在MATLAB的SIMULINK编辑框中对控制仿真系统进行编辑，实现了季节性模糊控制系统的仿真。结果表明，该控制系统运行稳定，响应迅速，有效调节温度和湿度因子。因此，它可以迅速改善温室环境因素，从而导致种植产量的增加。

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