青霉素发酵过程的多阶段MPCA建模及监控

Multi-stage MPCA modeling and monitoring for penicillin fermentation process

青霉素发酵过程具有非线性极强、动态特性变化快等特点,机理模型难以建立,过程监控和控制很困难。本文针对以上特点,基于多方向主元分析法(MPCA),研究了多阶段MPCA法对青霉素发酵过程的建模及监控。该方法通过多阶段线性结构改进传统MPCA法的单模型线性化结构,以分段线性建模逼近非线性的方式,弥补传统MPCA法的不足,提高监控的准确度和速度。本文详细地讨论了多阶段MPCA建模方法、原理,并通过在青霉素发酵仿真过程的应用,验证了该方法的监控效果要好于传统MPCA法,可以更及时地检测到过程故障,从而进一步说明该方法比MPCA法的监控性能更可靠。

For the characteristics of penicillin fermentation process such as nonlinear and dynamic properties changing rapidly.The paper studied modeling and monitoring of penicillin fermentation process with multi-stage MPCA method.This method used multi-stage linear structure to replace the traditional linear single structure,overcotned the shortcomings of traditional MPCA method with mutil-stage linear model approach nonlinear model and improved the accuracy,and timeliness of monitoring.The paper discussed the multi-stage MPCA modeling methods,principles in detail, and the simulation result of penicillin fermentation process platform shows that monitoring performance of this method is more reliable than the traditional one.