多阶段金霉素发酵过程产品质量控制

为提高金霉素产品质量和产量,提出了一种基于动态阶段划分的多阶段质量预测控制系统. 对训练数据进行主元分析得到的负载矩阵进行聚类,结合先验知识得到各阶段聚类中心;通过计算实时数据的负载矩阵与各阶段聚类中心值间的欧式距离,动态划定各阶段间的界限. 同时基于关联向量机算法,为发酵过程每个阶段建立相应的质量预测模型. 在金霉素间歇生产过程中,根据发酵进程所处的阶段和质量变量的实时预测值,对发酵生产过程实施相应控制策略. 通过实际应用表明,采用多阶段质量预测控制方法可改善生产过程的稳定性,提高产品质量. 

Multistage-Based Quality Prediction for CTC Fermentation

In order to improve the quality of chlortetracycline fermentation, a multiphase quality prediction system based upon dynamically dividing phase of the culture was proposed. By clustering the PCA loading matrices of history dataset to obtain the clustering center of each phase, the fermentation phase can be divided online through calculating the Euclidean between current loading matrix and these ones; while quality prediction was modeled for each phase of the chlortetracycline fermentation with relevance vector machine algorithm. During chlortetracycline fermentation batch, a corresponding control strategy was implemented on the fermentation production in terms of the information of phase and quality value. The validity and reliability of the improvement of product quality and product yield of the proposed method was illustrated by applying it to the real chlortetracycline fermentation.