CFB锅炉脱硫系统建模与控制系统仿真优化

发布时间：2018-02-12 01:06

本文关键词： 循环流化床炉内脱硫建模仿真优化　出处：《山西大学》2015年硕士论文　论文类型：学位论文

【摘要】：循环流化床燃烧技术是一种清洁煤燃烧技术,该技术以其较好的经济效益与环境效益得到了广泛的推广,但其炉内脱硫控制系统发展相对落后,在如今的国内国际形势下,传统控制方式已经不能满足控制要求。循环流化床炉内脱硫系统具有纯迟延、大惯性、参数时变的特点,真正的实现自动控制较为困难,而且,2011年国家环保部门进一步加强对污染物排放的控制力度,传统炉内脱硫控制系统的优化升级迫在眉睫。根据当今形式,本文介绍了循环流化床炉内脱硫的反应机理,分析了影响炉内脱硫效率的各个因素,根据各个因素在炉内脱硫反应中的对脱硫效率的影响大小,选择控制系统控制量；对系统加入控制量的阶跃扰动,根据系统响应,分别应用穷举法和粒子群法对炉内脱硫系统进行试验建模,为今后循环流化床机组试验建模提供参考。根据试验建模模型,本文从两个方面出发,对炉内脱硫系统进行控制优化。从传统控制方式的控制器参数优化出发,本文提出了应用粒子群寻优的方法,对传统PID控制器参数进行优化,并分别对单工况和全工况进行了优化仿真；从先进控制策略的应用出发,本文应用内模控制、模糊控制、内模PID等效等方法,提出了一种自适应的内模控制算法,并应用该算法对炉内脱硫过程模型进行了控制仿真。
[Abstract]:Circulating fluidized bed (CFB) combustion technology is a clean coal combustion technology, which has been widely popularized for its good economic and environmental benefits. However, the development of desulfurization control system in the furnace is relatively backward. The traditional control method can no longer meet the control requirements. Due to the characteristics of pure delay, large inertia and time-varying parameters, it is difficult to realize automatic control in circulating fluidized bed furnace desulfurization system. Moreover, in 2011, the national environmental protection department further strengthened the control of pollutant emission, and the optimization and upgrading of the traditional desulfurization control system in the furnace is urgent. According to the present situation, the reaction mechanism of desulfurization in circulating fluidized bed furnace is introduced in this paper. The factors influencing the desulfurization efficiency in the furnace are analyzed. According to the influence of each factor on the desulfurization efficiency in the furnace, the control system control quantity is selected, and the step disturbance of the control quantity is added to the system according to the system response. The exhaust method and particle swarm optimization method are used to model the desulphurization system in the furnace respectively, which provides a reference for the test modeling of CFB units in the future. According to the experimental modeling model, this paper starts from two aspects. The control optimization of desulphurization system in furnace is carried out. Based on the optimization of controller parameters of traditional control mode, the particle swarm optimization method is proposed in this paper to optimize the parameters of traditional PID controller. Based on the application of advanced control strategy, this paper presents an adaptive internal model control algorithm based on internal model control, fuzzy control and PID equivalence of internal model. The control simulation of desulphurization process model in furnace is carried out by using this algorithm.
【学位授予单位】：山西大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TK223.7

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