MIMO Soft-sensor Model of Nutrient Content for Compound Fertil- izer Based on Hybrid Modeling Technique

作     者：傅永峰 苏宏业 褚健 FU Yongfeng;SU Hongye;CHU Jian

作者机构：National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang UniversityHangzhou 310027 China 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2007年第15卷第4期

页      面：554-559页

核心收录：

学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081702[工学-化学工艺] 0817[工学-化学工程与技术] 08[工学] 0703[理学-化学] 

基　　金：Supported by the National Natural Science Foundation of China (No.60421002) and the New Century 151 Talent Project of Zhejiang Province 

主　　题：multi-inputs multi-outputs soft-sensor limited memory partial least squares simplified first principle model nutrient content of compound fertilizer 

摘      要：In compound fertilizer production, several quality variables need to be monitored and controlled simultaneously. It is very diifficult to measure these variables on-line by existing instruments and sensors. So, soft-sensor technique becomes an indispensable method to implement real-time quality control. In this article, a new model of multi-inputs multi-outputs （MIMO） soft-sensor, which is constructed based on hybrid modeling technique, is proposed for these interactional variables. Data-driven modeling method and simplified first principle modelingmethod are combined in this model. Data-driven modeling method based on limited memory partial least squares（LM-PLS） *** is used to build soft-senor models for some secondary ***, the simplified first principle model is used to compute three primary variables on line. The proposed model has been used in practicalprocess; the results indicate that the proposed model is precise and efficient, and it is possible to realize on line quality control for compound fertilizer process.