基于MyPSO-BP的黄酒发酵温控系统

在Labview组态软件、西门子PLC300和温度传感器构成的温度控制系统基础上,提出一种新的黄酒发酵温度控制系统,将带交叉因子的粒子群优化(PSO)算法应用到BP神经网络(MyPSO-BP)比例积分微分(PID)控制中。改进的PSO算法初始化神经网络的权重和阈值,可以更好地在线整定PID参数,增强系统的稳定性和鲁棒性,减小误差。对系统进行Matlab仿真实验,结果表明,该系统相较于传统的神经网络PID控制器具有更好的温度控制性能。

采用响应面法优化高浓度发酵探究

高浓度发酵在当下酒精发酵行业是势在必行。实现高浓度发酵,在采用高效酵母的同时,控制主发酵期的温度是很必要的。发酵温度由34℃降低为32.5℃,酒精度将达到16%vol以上,总糖维持在生产要求的2.5%左右,通过响应面法对高浓度发酵的条件进行优化,为生产提供参考和依据。

Ant colony system algorithm for the optimization of beer fermentation control

Beer fermentation is a dynamic process that must be guided along a temperature profile to obtain the desired results. Ant colony system algorithm was applied to optimize the kinetic model of this process. During a fixed period of fermentation time, a series of different temperature profiles of the mixture were constructed. An optimal one was chosen at last. Optimal temperature profile maximized the final ethanol production and minimized the byproducts concentration and spoilage risk. The satisfactory results obtained did not require much computation effort.