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出 处:《安徽理工大学学报(自然科学版)》2017年第5期34-38,共5页Journal of Anhui University of Science and Technology:Natural Science
基 金:安徽省高等学校图书情报工作委员会基金资助项目(TGW13B04)
摘 要:馆藏湿度控制系统是一个大滞后环节系统,控制模型难以建立,常规控制算法响应速度慢、超调严重,控制效果不理想。为提高库房湿度的控制效果与精度,将预测控制算法与PID算法相结合,取两种算法的优点,提出利用预测PID算法实现对库房湿度的控制,并将该算法移植到ARM中,构建馆藏湿度控制系统,进行运行测试。实际应用表明,预测PID控制算法能够快速使馆藏库房的湿度稳定在设定值,上下波动范围较小,控制精度高,该算法的实施对现有库房的湿度控制有较好的应用意义。Library Collection humidity control system,with control model difficult to be established and low response speed and serious overshoot of conventional algorithm,is a big lagging link system and thus the control effect is not satisfactory. In order to enhance the control effect and precision of the warehouse humidity,the predictive control algorithm was combined with PID in this paper and the predictive PID algorithm was used to control the library collection humidity. Furthermore,this algorithm was transplanted into the ARM,constructing the library collection humidity control system to have a running test. It was shown from the practical application that the predictive PID control algorithm had a good effect on the warehouse humidity control with small fluctuation and high control precision,which could achieve the control requirements of the collection humidity system.
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