本論文介紹了啤酒發酵工藝過程，并針對發酵過程具有大慣性、時滯和非線性等特點，本文采用IPC-PLC DCS即工業控制計算機與可編程序控制器分布計算機控制系統，提出一種基于神經網絡的模糊PID控制算法，實現了整個發酵工藝按預定的溫度曲線進行，提高了啤酒的質量。
關鍵詞：IPC-PLC DCS 啤酒發酵 模糊自適應控制 神經網絡
Application of ICP-PLC DCS to Beer’s Fermentation Process Abstract:The thesis mainly introduces the process of beer’s fermentation. According to characteristics of inertia、time lag and nonlinear in beer’s fermentation process, it adopts IPC-PLC distributed control system and mainly improves a fuzzy controlling self-adaptive PID controlling arithmetic,which based on Bp neural networks. The whole fermentation technology carries out according to the scheduled curve of temperature. Furthermore it improves the beer’s quality. Key words: IPC-PLC distributed control system Beer’s fermentation
Unidentification and self-adaptive control neural networks