本論文介紹了啤酒發(fā)酵工藝過程，并針對(duì)發(fā)酵過程具有大慣性、時(shí)滯和非線性等特點(diǎn)，本文采用IPC-PLC DCS即工業(yè)控制計(jì)算機(jī)與可編程序控制器分布計(jì)算機(jī)控制系統(tǒng)，提出一種基于神經(jīng)網(wǎng)絡(luò)的模糊PID控制算法，實(shí)現(xiàn)了整個(gè)發(fā)酵工藝按預(yù)定的溫度曲線進(jìn)行，提高了啤酒的質(zhì)量。
關(guān)鍵詞：IPC-PLC DCS 啤酒發(fā)酵 模糊自適應(yīng)控制 神經(jīng)網(wǎng)絡(luò)
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