Modeling and control of a continuous crystallization process Part 1. Linear and non-linear modeling

• Published in: Computers & chemical engineering Vol. 23; no. 3; pp. 263 - 277
• Main Authors: Rohani, S., Haeri, M., Wood, H.C.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 28.02.1999; Elsevier
• Subjects: Applied sciences; Auto-regressive exogenous linear models; Chemical engineering; Continuous cooling crystallizers; Crystallization, leaching, miscellaneous separations; Exact sciences and technology; Modeling; Neural network non-linear models; Continuous cooling crystallizers; Auto-regressive exogenous linear models; Modeling; Neural network non-linear models; Continuous process; Non linear model; Crystallization; Time series; Potassium Chlorides; Autoregressive model; Neural network; Linear model

Single-input–single-output (SISO) and multi-input–single-output (MISO) models of a cooling crystallization process are developed using time series and neural network approaches. The process description is simulated using first principles including the population balance to describe the crystal size...