谷氨酸发酵中分批补料的嵌入式控制系统

摘要

针对谷氨酸发酵过程的复杂性和非线性,利用人工神经元网络建立了谷氨酸发酵过程中关于补料量的动态数学模型.采用TQ2440 ARM开发板作为核心控制模块,基于嵌入式QT4平台建立发酵过程预估模型,由模型得出的补料量通过无线数传模块CC1100传输至补料执行模块(51单片机系统),实现补料的自动控制.实验表明,该模型能够准确地预估谷氨酸发酵中的补料量,且该控制系统数据传输稳定.%According to the complexity and nonlinearity of the glutamate fermentation,using artificial neural network to create dynamic mathematical model for feed. The TQ2440 ARM development board to serve as the core control module, based on embedded QT4 platform,established the prediction model of fermentation process.The model for the amount transmitted to execute module (51 SCM system)through wireless digital module CCllOO.The experiment shows that this model can estimate the amount of fermentation for glutamic acid accurately,and the control system transmits data stably.