The temperature control during beer fermentation is an important factor that affects the quality of beer.
啤酒发酵过程中的温度控制是影响啤酒质量的重要环节。
For the characters of the beer fermentation temperature control are the large delay and nonlinear and so on, a hybrid parameters self-tuning fuzzy PID controller is presented.
针对啤酒发酵温度过程控制具有大时滞、非线性等特点，设计了混合参数自调整模糊pid控制器。
Beer fermentation process of beer production, as the most important aspects, fermentation temperature control is particularly important.
啤酒发酵作为啤酒生产过程最重要的环节，发酵温度控制尤为重要。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
The system has the advantages of simple structure, convenient control, accurate temperature adjustment and the capability of effectively controlling the temperature changes of the fermentation system.
该系统结构简单、控制方便，调节温度准确，可有效控制发酵系统的 温度变化。
By means of the all-coefficient adaptive control method presented in literature and an empirical formula, the authors are capable of controlling the fermentation temperature of beer brewery.
笔者运用吴宏鑫提出的全系数自适应控制方法及经验公式，对啤酒发酵温度进行控制。
Using the 89c52 single chip microcomputer as its core computer, the thesis studied and designed a digital temperature control system of beer fermentation based on digital technology.
本论文以89c52单片机芯片为核心，研究和设计了数字化的啤酒发酵过程计算机控制系统。
Using the 89c52 single chip microcomputer as its core computer, the thesis studied and designed a digital temperature control system of beer fermentation based on digital technology.
本论文以89c52单片机芯片为核心，研究和设计了数字化的啤酒发酵过程计算机控制系统。
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