超临界循环流化床锅炉床温控制系统建模及优化研究

发布时间：2018-03-15 07:36

本文选题：循环流化床　切入点：PSO算法　出处：《华北电力大学》2016年硕士论文　论文类型：学位论文

【摘要】：循环流化床锅炉技术是一种重要的清洁燃煤技术,具有良好的经济性和环保性。与普通煤粉炉的燃烧系统相比,循环流化床锅炉具有一定的特殊性,其对象机理较为复杂,机理建模方法基本不可行。但如果要实现对循环流化床锅炉燃烧系统的高水准控制,建立准确的对象模型是其前提条件,这就不仅需要对循环流化床锅炉燃烧系统的特性有比较完整的了解,并且要结合有效的数据分析手段。结合上述分析,本文主要完成下面三个方面的研究。为实现高精度的燃烧系统建模,需要运用优秀的数据分析与优化手段,PSO算法是其中较为优秀的一种。但经典的PSO算法存在容易陷入局部最优和局部搜索精度低的问题,本文对这两种问题的出现进行深刻剖析,在机理分析的基础上设计了一种改进的PSO算法,仿真验证其在一定程度上解决了经典PSO算法存在的缺陷。通过对循环流化床锅炉燃烧系统特性的分析,在现场运行数据中选取适合用于辨识给煤量与床温、一次风量与床温对象模型的数据。基于改进的PSO算法,分别建立满负荷,百分之九十负荷,百分之八十负荷,百分之六十负荷这四种工况下的给煤量与床温、一次风量与床温的传递函数模型。根据得到的不同工况下的一次风量与床温的传递函数模型,分别对典型工况的一次风量控制床温的PID控制系统的进行了PID参数整定并进一步建立基于隶属度函数的多PID融合控制系统,仿真结果表明,该系统较单PID控制有更加优异的控制品质。
[Abstract]:Circulating fluidized bed boiler (CFB) is an important clean coal burning technology with good economy and environmental protection. Compared with the combustion system of ordinary pulverized coal boiler, CFB boiler has some particularity and complex object mechanism. The mechanism modeling method is basically not feasible, but if the high level control of CFB boiler combustion system is to be realized, the establishment of accurate object model is the precondition. This not only requires a relatively complete understanding of the characteristics of the CFB boiler combustion system, but also combines effective data analysis methods. In this paper, the following three aspects of research are mainly completed. In order to achieve high precision combustion system modeling, PSO algorithm is one of the best ones, but the classical PSO algorithm is easy to fall into the local optimum and the local search accuracy is low. This paper makes a deep analysis of these two kinds of problems. On the basis of mechanism analysis, an improved PSO algorithm is designed, and the simulation results show that it solves the defects of classical PSO algorithm to some extent. The data suitable for identifying the object models of coal feed and bed temperature, primary air flow and bed temperature are selected from the field operation data. Based on the improved PSO algorithm, the full load, 90% load and 80% load are established, respectively. The transfer function model of coal supply and bed temperature, primary air volume and bed temperature under four working conditions of 60% load. According to the transfer function model of primary air volume and bed temperature under different working conditions, The PID control system of primary air volume control bed temperature under typical working conditions is adjusted by PID parameters, and a multi-#en2# fusion control system based on membership function is established. The system has better control quality than single PID control.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TK229.66

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