【作者】 赵华邦；

【导师】 张力；

【作者基本信息】 重庆大学 ， 动力工程， 2003， 硕士

【摘要】 火力发电厂球磨机制粉系统是一个多变量的对象，各个变量之间不仅存在着严重的耦合，而且一些变量还存在着很大的纯迟延及时变性。对球磨机制粉系统采用经典的PID控制，很难得到较好的控制效果。所以，长期以来对球磨机制粉系统一直采用人工手动控制。如何有效的实现球磨机制粉系统的自动控制，提高自动控制的水平及制粉效率，减小工人的劳动强度，是一个亟待解决的问题。本文从模糊控制的角度对球磨机制粉系统的控制进行了深入的研究。 本文以盘县发电厂200MW机组的球磨机制粉系统的控制为研究对象，针对球磨机具有的纯滞后、大惯性和非线性、数学模型难以建立且随时间缓慢变化等特点，常规控制方法难以取得良好的控制效果。而模糊控制策略大多应用于受控对象数学模型难以建立的场合，具有较好的稳定性和鲁棒性，为此提出了按负荷、出口温度、入口负压顺序分级预测的模糊控制模型，并分析了该模型的解耦特性，同时，按该模型设计了一种模糊控制系统。采用分级模糊控制算法的目的是因为分级控制能够显著的减少模糊控制算法的规则数，此分级模糊控制算法不仅简化了多变量系统的模糊控制设计，而且还有效的解决了系统变量之间的耦合问题。提高了球磨机制粉系统模糊控制算法的自适应能力。本文对分级模糊控制在盘县电厂200MW机组I/A Series DCS集散控制系统中的应用进行了分析和研究，设计了分级模糊控制器在I/A Series DCS上的挂接方案和通讯方案，并通过对控制功能的分析能够得到良好的控制效果，能够提高制粉系统运行的经济性和安全性，有着良好的工程应用前景和价值。更多还原

【Abstract】 The ball mill pulverizing system is a MIMO system with strong coupling, long time delay and time changing apparently. With traditional PID control system, the controlling result is not so satisfying. Thus, manual control system has been put into use for a long time. However it is still an urgent problem to be solved that how to realize the automatic control of the steel ball mill pulverizing system, how to raise the level of automation and the efficiency of the system, and how to reduce the workers’ labor intensity. This paper gives a thorough research work on the control of the steel ball mill pulverizing system from the angle of the intellectual control.The control of the ball mill pulverizing system in the 200MW unit in PanXian power plant is researched in this paper. Fuzzy control police most has application in the situation that it is difficult to establish object model. It has better stability and robustness. In allusion to the characteristic of ball mill that it is simple lag, serious inertia and nonlinear, and general control methods are hard to gain a good control impact, so a fuzzy control model is held up which is graded according to burthen, temperature of outlet, negative pressure of entry, and the coupling characteristic of the model is analyzed. Finally a fuzzy control system is designed as the model. This theory can remarkable reduce the rule number of the fuzzy control algorithm. It can not only simplify the design for multi-variables system’s fuzzy control, but also solve effectively the coupling problem between variables in the system, To raise the method’ self-adaptability. And these papers analyze and study the method’s application in the I/A Series DCS control system in PanXian power plants. Devised coupling precepts and communicate precepts about graded fuzzy controller in the I/A Series DCS. It can gain favorable control effect by annalyzing control function and improve the economy and security of the pulverizing system. It has a favorable engineering applied foreground and value.更多还原