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间歇结晶过程是一种重要的分离过程单元操作,由于机理的复杂性以及动态特性使得该过程的数学模型研究非常具有挑战性。本文从间歇结晶过程建模和动态模拟、动态优化、模型辨识以及鲁棒优化与控制等方面,介绍了间歇结晶过程数学模型的研究进展,评述了其中的关键问题和求解技术。指出对结晶过程的机理进一步深入认识,开发数值稳定、精度更高的求解算法是间歇结晶过程数学模型研究的基础。全局优化效果较好的进化算法和模型预测控制理论在结晶过程动态优化和质量控制中的应用是今后的研究方向。
Intermittent crystallization process is an important separation process unit operation, due to the complexity of the mechanism and the dynamic characteristics of the mathematical model of the process makes the study very challenging. In this paper, the research progress of the mathematical model of batch crystallization process is introduced from the aspects of batch crystallization process modeling and dynamic simulation, dynamic optimization, model identification and robust optimization and control. The key problems and solving techniques are reviewed. It is pointed out that the mechanism of crystallization process is further understood. It is necessary to develop a numerical stability and accuracy solution algorithm which is the basis of the mathematical model of batch crystallization process. The application of evolutionary algorithm and model predictive control theory with global optimization in dynamic optimization and quality control of crystallization process are the research directions in the future.