基于PKS的脱硫控制系统的设计与应用

发布时间：2018-03-22 20:46

本文选题：PKS　切入点：烟气脱硫　出处：《西安建筑科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：烟气脱硫系统具有强藕合性、不确定性、非线性和大纯滞后等特征,是过程控制中一种典型的控制对象。通过对烟气脱硫控制系统的研究,可以提供烟气脱硫控制系统在工业过程控制中的理论研究和实际应用指导。本文针对火力发电厂烟气脱硫控制系统的特征以及PKS系统自带的算法库并不能很好的解决所遇到的问题,设计了基于参数自校正的模糊PID控制系统,主要研究内容包括以下几个方面:本文首先介绍了国内烟气脱硫系统控制技术的发展与现状并对工业中的几大控制系统进行了分析。通过分析各个烟气脱硫控制系统的特点并结合工业控制,对湿法烟气脱硫系统工艺进行了相关的设计,并对设计的各个子系统进行了工艺描述,分析了影响脱硫率的几个重要因素。然后对烟气脱硫控制系统的整个硬件结构进行了分析,介绍了控制系统的硬件选型和数据点的配置。根据各个控制子系统的要求,采用PKS系统对脱硫控制系统的各个子系统进行了组态,完成了对烟气脱硫控制各个子系统的具体控制与设计。介绍了烟气脱硫系统控制器的原理和设计,重点介绍了模糊PID控制器的控制规则并建立了模糊控制规则表,使用误差加速度、变论域思想、自推调节算法和受控自回归滑动平均模型设计了脱硫控制系统的参数自校正模糊PID控制器。最后使用OPC技术建立MATLAB与PKS系统的通讯,快速准确的获得烟气脱硫控制系统中的数据信息,实现了控制算法在PKS系统中的应用。参数自校正模糊PID控制器与常规的PID控制器、模糊PID控制器从理论设计到最后的控制效果进行了比较。实验结果表明,参数自校正模糊PID控制器相对于常规的模糊PID控制器系统具有更小的超调量、更快的响应速度和更好的鲁棒稳定性。
[Abstract]:Flue gas desulfurization system has the characteristics of strong coupling, uncertainty, nonlinearity and large pure hysteresis. It is a typical control object in process control. It can provide theoretical research and practical application guidance of FGD control system in industrial process control. This paper aims at the characteristics of FGD control system in thermal power plant and the algorithm library of PKS system is not very good. To solve the problems encountered, A fuzzy PID control system based on parameter self-tuning is designed. The main research contents include the following aspects: firstly, this paper introduces the development and present situation of domestic flue gas desulfurization system control technology, and analyzes several control systems in industry. The characteristics of the system and industrial control, The process of wet flue gas desulfurization system is designed, and the process of each subsystem is described. Several important factors affecting desulphurization rate are analyzed. Then the whole hardware structure of flue gas desulfurization control system is analyzed, and the hardware selection and data point configuration of the control system are introduced. The PKS system is used to configure each subsystem of FGD control system, and the concrete control and design of FGD control subsystem are completed. The principle and design of FGD system controller are introduced. The control rules of fuzzy PID controller are introduced emphatically and the fuzzy control rule table is established. The parameter self-tuning fuzzy PID controller of desulphurization control system is designed by using self-pushing adjustment algorithm and controlled autoregressive moving average model. Finally, the communication between MATLAB and PKS system is established by using OPC technology. The data information of FGD control system is obtained quickly and accurately, and the application of control algorithm in PKS system is realized. The parameter self-tuning fuzzy PID controller and the conventional PID controller are used. The experimental results show that the parameter self-tuning fuzzy PID controller has a smaller overshoot than the conventional fuzzy PID controller system. Faster response speed and better robust stability.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X701.3;TP273

【参考文献】