基于改进串联混合建模方法的发酵过程菌体浓度软测量  

Soft sensor of biomass in fermentation process based on improved series hybrid modeling method

作　　者：杨强大[1] 

机构地区：[1]东北大学材料与冶金学院,沈阳110004

出　　处：《仪器仪表学报》2011年第1期206-211,共6页Chinese Journal of Scientific Instrument

基　　金：中央高校基本科研业务费专项资金(N090302006)资助

摘　　要：发酵过程中菌体浓度难以在线实时测量,给控制与优化带来困难。针对这一问题,本文利用软测量技术来实现菌体浓度的在线估计,并提出了一种改进的串联混合建模方法用以建立菌体浓度软测量模型。改进的串联混合建模方法,克服了现有方法需要利用插值所得的数据进行软测量模型构建的不足,从而保证了建模数据的可靠性。利用诺西肽发酵过程生产数据进行仿真研究,仿真结果表明,基于改进串联混合建模方法的软测量模型是有效的,比基于现有方法的软测量模型具有更好的估计性能。Biomass is hard to be measured on-line in real-time in fermentation process,which brings difficulty in process control and optimization.To solve this problem,soft sensor technique is applied to implement the on-line estimation of biomass,and an improved series hybrid modeling method is presented to develop the soft sensor model of biomass in fermentation process.The improved series hybrid modeling method overcomes the shortcoming that existing method requires using the data obtained through interpolation to develop the soft sensor model,and guarantees the reliability of the modeling data.Simulation is performed using the production data from Nosiheptide fermentation process.Simulation results show that the soft sensor model based on the improved series hybrid modeling method is effective and has better estimation performance than the soft sensor model based on existing method.

关 键 词：发酵 软测量 算法改进 串联混合建模 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]