化工学报2019，Vol.70Issue(4)：1494-1502,9.DOI:10.11949/j.issn.0438⁃1157.20180907
复杂化工过程失配子模型深度诊断与修正算法
A deep dive diagnostic and correction algorithm for mismatched sub-models in complicated chemical processes
摘要
Abstract
In the processes of complicated chemical production, the appearance of model mismatch in multivariable predictive control systems usually will cause fluctuations in product quality. To deal with this problem, a deep dive mismatched sub-models’diagnostic method and its correction algorithm are proposed. Considering that the control variable is the combined responses of the control channel and the disturbance channel in industrial field, by the successive moving of the operational variables into disturbance channel, we evaluate the impact of the moving on the quality index of the model, then identify the source of the mismatched sub-model according to its performance judging. Furthermore, the historical data were used to identify the details of the mismatched parts of the model by the autoregressive moving average model identification method, so that the original sub-model can be corrected. The dynamic simulation of the experiment was carried out by Wood-Berry distillation process. The results demonstrate the effectiveness of the algorithm.关键词
复杂化工过程/模型预测控制/动力学模型/修正算法/动态仿真Key words
complicated chemical processes/model-predictive control/kinetic modeling/correction algorithm/dynamic simulation分类
信息技术与安全科学引用本文复制引用
杨世品,黄振,李丽娟,宋健全,叶景,汪辉..复杂化工过程失配子模型深度诊断与修正算法[J].化工学报,2019,70(4):1494-1502,9.基金项目
国家自然科学基金项目(21176264) （21176264）
