模型为一个控制环的设计通常是必要的。由于简化和未知动力学,模型植物失配在控制循环是不可避免的。在过程监视,失配的察觉和它的影响的评估被要求。在这篇论文,几项失配措施基于不同模型描述被介绍。他们从不同观点被分成不同的组,他们在察觉和诊断的潜力被评估。混合过程和蒸馏过程上的二案例研究表明失配监视的框架的功效。
Model is usually necessary for the design of a control loop. Due to simplification and unknown dynamics, model plant mismatch is inevitable in the control loop. In process monitoring, detection of mismatch and evaluation of its influences are demanded. In this paper several mismatch measures are presented based on different model descriptions. They are categorized into different groups from different perspectives and their potential in detection and diagnosis is evaluated. Two case studies on mixing process and distillation process demonstrate the efficacy of the framework of mismatch monitoring.