This research pertains to the development of a dynamic‐model and identification of parameters for high‐temperature‐short‐time (HTST) pasteurization process using plate‐heat‐exchangers for precise controller scheme for this process. Real‐time HTST process consists of three integrated sections, (a) plate‐heat‐exchanger engaged in regeneration, heating and cooling (b) holding tank, and (c) holding tube. The models for these sections are identified using Matlab. The dynamics of the HTST process using the first‐principle method consisting of two inputs one‐output model is derived. The parameters of the dynamic model are identified using the autoregressive‐exogenous linear identification technique, ARMAX, and subspace system identification to predict the outlet temperature of HTST process. Finally, a dynamic‐model, relating exit temperature to input enthalpy is obtained from the closed‐loop process input–output data, using a nonlinear least‐square‐estimation technique. The quality of prediction of linear‐model structures is checked using plant's data. The results obtained from the linear‐models are in good agreement with plant‐data.

中文翻译：

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高温短时牛奶巴氏灭菌器的鉴定

这项研究涉及动态模型的开发以及高温短时（HTST）巴氏灭菌过程参数的识别，该过程使用板式热交换器为该过程提供精确的控制器方案。实时HTST过程包括三个集成部分，（a）用于再生，加热和冷却的板式热交换器（b）储罐，以及（c）储罐。这些部分的模型使用Matlab进行识别。推导了采用第一原理方法（由两个输入单输出模型组成）的HTST过程的动力学。使用自回归-外生线性识别技术，ARMAX和子空间系统识别来识别动态模型的参数，以预测HTST过程的出口温度。最后，一个动态模型 使用非线性最小二乘估计技术从闭环过程​​输入输出数据获得与出口温度相关的输入焓。使用工厂数据检查线性模型结构的预测质量。从线性模型获得的结果与工厂数据非常吻合。