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TUNING AND IMPLEMENTATION OF A FEEDBACK CONTROL STRATEGY FOR DRYING PROCESS BASED ON IAE MINIMIZATION

机译:基于IAE最小化的干燥过程反馈控制策略的调整与实现

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Agricultural products contain a significant amount of moisture during the harvesting stage. The presence of this moisture increases the deterioration rate of the products during storage, handling, and processing periods; drying is one of the most suitable processes that can be applied to these by-products before using them as cattle feed or soil conditioner. This process is certainly one of the most energy consuming found in industry. The selection of an appropriate process control strategies can minimize production and maintenance cost, maximize product quality and reduce environmental pollution. Rotary dryers are normally employed to dry agricultural products because it can give high production rate and high drying uniformity. The aim of this research is to improve the performance of a feedback control strategy for a drying process, based on the implementation design of experiment; this approach allows finding specifics tuning parameters and potential operation conditions that will traduce in a more robust process. The selected criterion to evaluate the performance of the strategy is the integral absolute of the error (IAE) and the analysis is based on a dynamic model of a rotary dryer. The objective of the process improvement is to find an operation region, function of the controller gain, the integral time and derivative time, in which IAE parameter is minimized, this will lead to enhancement of equipment performance and reduction of the wear of the final control element. Once the controlled strategy is described, the methodology states an exploratory stage, for process characterization, establishment of a regression model, to describe the relation between experiment significant factors and response variable, maximum ascent route, exploration of a possible curvature, definition of a new regression model and finally determination of a new optimum operating point.
机译:农产品在收获阶段含有大量水分。水分的存在会增加产品在储存,处理和加工期间的劣化率;在将这些副产品用作牛饲料或土壤改良剂之前,干燥是最适用于这些副产品的工艺之一。这个过程无疑是工业上最耗能的过程之一。选择适当的过程控制策略可以最大程度地减少生产和维护成本,最大程度地提高产品质量并减少环境污染。旋转干燥机通常用于干燥农产品,因为它可以提供高生产率和高干燥均匀度。这项研究的目的是基于实验的实施设计来改善干燥过程的反馈控制策略的性能。这种方法可以找到将在更强大的过程中实现的细节调整参数和潜在的操作条件。选择的评估策略性能的标准是误差的绝对绝对值(IAE),并且分析基于旋转干燥机的动态模型。改进过程的目的是找到最小化IAE参数的操作区域,控制器增益,积分时间和微分时间的函数,这将提高设备性能并减少最终控制装置的磨损元素。一旦描述了受控策略,该方法就说明了探索阶段,用于过程表征,建立回归模型,描述实验重要因素与响应变量之间的关系,最大上升路线,探索可能的曲率,确定新的回归模型并最终确定新的最佳工作点。

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