【作者】 刘嘉璐；

【导师】 叶景楼； 刘建辉；

【作者基本信息】 辽宁工程技术大学 ， 控制理论与控制工程， 2003， 硕士

【摘要】 本文针对我国大部分啤酒生产工艺虽然开始启用一些控制设备，但多数存在控制过程简单，可视性差，生产过程数据不能进行有效地保存和分析，控制精度和灵活性也欠佳，很容易出现质量的问题。为此我们采用了工业控制计算机与可编程序控制器组成分布式计算机控制系统(IPC—PLC DCS)。该系统性能/价格比高、可靠实用、技术先进，完全满足啤酒生产发酵工艺的技术要求，并兼顾了发展的需求。 根据啤酒发酵过程具有大惯性、时滞和非线性等特点，本论文还提出一种基于神经网络的模糊自适应PID控制方案，它一方面利用模糊逻辑的“概念”抽象能力和非线性处理能力，另一方面利用神经网络的自学习能力和任意函数的逼近能力，通过两者的有机结合寻找一个最佳的P、I、D非线性组合控制规律，以实现对未知对象进行在线控制，并具备适应控制环境变化的能力和自学习能力等。既能增强系统的鲁棒性和智能性，又能使设计简单，并且易于实现等优点。 此外，还对系统中的上位机和下位机进行了程序设计，使整个系统能够投入到实际运行中。更多还原

【Abstract】 Aiming at the controlling to production of beer with usual equipment in many beer factories of our country, there’re many disadvantages in such production process The data of product can’t be protected and analyses, controlling accuracy and mobility can’t satisfy and easily produce the problem of the qualityc It adopts IPC - PLC distributed control system, the function of the system is very higl reliability and practically techniques advancement completely meets the demand of modern production, furthermore, improves the demand of developmentThe thesis mainly improves BP neural networks fuzzy controlling self-adaptive controlling arithmetic , according to characteristics of inertia and time lag in beer’s fermentation process.. First, It applies fuzzy logical in the abstract and non-linear dealing ability; second, it applies neural net in the self-study and any functions approaching ability ?Through combining above two ability, it can find a best P I D non-linear controlling regularity and achieve controlling on line of the unknown subject etCo Therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredoIn addition, the thesis also does many works on procedure of upper-computer and basic-controller and the whole system designed can be put into work immediately更多还原