点击次数：
论文类型：期刊论文
发表时间：2012-12-01
发表刊物：BIOTECHNOLOGY AND BIOPROCESS ENGINEERING
收录刊物：SCIE、EI、Scopus
卷号：17
期号：6
页面范围：1238-1243
ISSN号：1226-8372
关键字：batch culture; nonlinear stochastic system; unscented kalman filter; joint estimation
摘要：The disturbances caused by uncertain factors are inevitable in microbial fermentation. In this paper, we study the joint estimation problem for state and parameter in the bio-dissimulation process of glycerol to 1,3-PD in batch culture. Based on the nonlinear stochastic dynamic system model, we establish the corresponding iteration equations of Joint Unscented Kalman Filter (UKF) by referring to the Extended Kalman Filter (EKF), which is generally applied in microbial fermentation. Through numerical computation, both the state estimations and the uncertain model parameter estimations are obtained. Furthermore, the results of different parameter identification methods are compared. The results show that Joint UKF is more feasible for the process of controlling the glycerol fermentation.