摘要
本文在维生素C二步发酵动力学模型研究的基础上,引进增广Kalman滤波器理论,将数学模型、发酵系统和实际操作等因素引起的偏差归为白噪声序列,用于发酵状态及模型参数的滤波处理。结果表明:滤波估计比模型计算的拟合精度大为提高。通过对模型参数的分析,加深了对该系统动力学特性的认识,为维生素C二步发酵过程的状态估计,状态预测及在线辨识奠定了理论基础。
Based on kinetic model study of two-step vitamin C fermentation, Extended Kalman Filter (EKF) theory is conducted for studying the process wbich is disturbed by white noise to some extent caused by the model, the systems, and estimation by experimental errors. EKF show that calculated results from estimated process parameters agree the experiments considerably better than model prediction without using estimated parameters. Parameter analysis gives a beter understanding of the kinetics and provides a basis for state estimation and state prediction.
出处
《生物工程学报》
CAS
CSCD
北大核心
1993年第1期31-35,共5页
Chinese Journal of Biotechnology
