The temperature and humidity control of artificial climate chambers faces many difficulties. Not only does the control object have hysteresis, no accurate mathematical model, and uncertain interference, but there is also coupling between temperature and humidity. The effect of using conventional PID or simple fuzzy control is not good. This paper proposes an intelligent control algorithm that combines PID and fuzzy control. At the same time, through field tests in the artificial climate chamber of the School of Life Sciences of Inner Mongolia University, the effectiveness of this control algorithm for temperature and humidity control systems is proved.
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