基于模糊RBFNN-PID的啤酒发酵温度控制系统  

Temperature control system of beer fermentation based on fuzzy RBFNN-PID

作　　者：胡亚南[1] 李鑫[1] 宁奎伟 赵锦文 HU Ya-nan;LI Xin;NING Kui-wei;ZHAO Jin-wen(Xijing University,Xi’an,Shaanxi 710021,China;Shaanxi Xiwei Aotumation Control Engineering Limited,Xianyang,Shaanxi 712000,China)

机构地区：[1]西京学院,陕西西安710021 [2]陕西西微测控工程有限公司,陕西咸阳712000

出　　处：《食品与机械》2020年第4期115-119,175,共6页Food and Machinery

基　　金：西京学院科研基金项目(编号:XJ190201);陕西省重点研发计划资助项目(编号:2018GY-042)。

摘　　要：基于模糊PID控制算法,结合RBF神经网络算法优点,设计具有逻辑判断和自我优化的模糊RBFNN-PID控制算法,实现PID参数在线最优整定。以CPU1214C和KP1500触摸屏为核心,设计啤酒发酵自动控制系统和人机交互界面,Matlab仿真和试验测试结果表明:该控制算法可以提升温度控制系统的稳定性、模型失配鲁棒性和抗干扰能力。Based on the fuzzy PID control algorithm,combined with the advantages of RBF neural network algorithm,a fuzzy RBFNN-PID control algorithm with logic judgment and self optimization is designed to realize the online optimal tuning of PID parameters.Taking CPU1214C and KP1500 touch screen as the core,the beer fermentation automatic control system and man-machine interface are designed.Matlab simulation and experimental results show that the control algorithm can improve the stability,model mismatch robustness and anti-interference ability of the temperature control system.

关 键 词：发酵温度 模糊RBFNN-PID 参数优化 硬件组态 

分 类 号：TS262.5[轻工技术与工程—发酵工程] TP273[轻工技术与工程—食品科学与工程]