几种谷物横流干燥数学模型及其应用

该文通过综述国内外谷物横流干燥数学模型研究及应用情况，为国内开展同类研究提供借鉴和参考。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。DP过程模型是PDE模型的简化形式，能够较好地描述横流干燥过程，且模拟计算程序简单，非常适用于干燥过程的在线控制。美国研究人员以DP过程模型和MPC控制算法为基础开发出模型预测控制器，在塔式横流干燥机上获得成功应用。

Mathematical models of crossflow grain drying and their applications

Mathematical models of crossflow grain drying and their applications were overviewed with the intention of providing some references for the similar research in our country. 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 applications in continuous crossflow grain dryer were also presented in this paper. DP process model, as a simplified form of PDE model, can perfectly simulate the drying process. DP model has simple analog computational procedure, being fitting for the online control of grain dryer. Based on the DP process model and MPC control algorithm, American researchers developed a model-predictive controller which was successfully applied on crossflow tower-dryer.