谷物横流干燥数学模型及模型预测控制

    Mathematical models and model predictive control for crossflow grain drying

    • 摘要: 粮食干燥过程数学模型是粮食干燥机具设计、干燥作业自动控制以及干燥工艺优化的重要依据。横流干燥是目前应用较为广泛的粮食干燥形式之一,该文详细介绍了美国学者建立的适用于谷物横流干燥的Bakker-Arkema偏微分方程模型、二维动态偏微分方程模型、分布式参数DP过程模型;并简要介绍了模型预测控制方法及其在连续式横流谷物干燥机上的研究与应用,以期为中国的同类研究提供借鉴和参考。

       

      Abstract: Mathematical models of drying process are viewed as the primary basis for design of grain dryer, auto-control of drying operation and the optimization of drying technology. Crossflow drying is one of the methods widely used in grain drying. Three mathematical models for crossflow drying by researchers of USA were introduced in detail, including Bakker-Arkema PDE(Partial Differential Equation) model, two-dimensional dynamic PDE model, DP(Distributed Parameter) process model. Model predictive control method and its application in continuous crossflow grain dryer were also presented in this paper. All the introductions were aimed at providing some references for the similar research in our country.

       

    /

    返回文章
    返回