基于粒子群算法的模糊控制器设计及其在烟气脱硝中的应用  

Design of fuzzy controller based on particle swarm optimization algorithm and its application in flue gas denitration

作　　者：陆晨旭 高海东[1] 高林[1] 高耀岿 吕海涛 李华 LU Chenxu;GAO Haidong;GAO Lin;GAO Yaokui;LYU Haitao;LI Hua(Xi’an Thermal Power Research Institute Co.,Ltd.,Xi’an 710054,China;Huaneng Qinmei Ruijin Power Generation Co.,Ltd.,Ganzhou 341108,China)

机构地区：[1]西安热工研究院有限公司,陕西西安710054 [2]华能秦煤瑞金发电有限责任公司,江西赣州341108

出　　处：《热力发电》2022年第4期188-193,共6页Thermal Power Generation

基　　金：中国华能集团有限公司总部科技项目(HNKJ20-H80-01)。

摘　　要：针对模糊控制器设计难度大、推广困难的问题,提出一种利用粒子群(PSO)算法设计模糊控制器的方法。通过将二维模糊控制器的模糊推理过程理解为二元函数,将控制器设计问题转变为函数曲面寻优问题,避免了设计隶属度函数、模糊规则等复杂的过程。利用网格化方法,将寻优对象降维为二维矩阵,然后采用PSO算法寻找最适合被控对象的函数曲面,从而完成模糊控制器的设计。以火电厂选择性催化还原(SCR)烟气脱硝系统为试验对象,利用此方法设计模糊PID控制器,并通过与常规PID控制对比,验证了该设计方法的有效性。Aiming at solving the problem of large difficulty in fuzzy controller design and promotion,a method of designing fuzzy controller using particle swarm optimization(PSO)algorithm is proposed.By understanding the fuzzy reasoning process of a two-dimensional fuzzy controller as a binary function,the controller design problem is transformed into a function surface optimization problem,which avoids the complicated process of designing membership functions and fuzzy rules.By using the meshing method,the dimensionality of the optimization object is reduced to a two-dimensional matrix,and then the PSO algorithm is used to find the most suitable function surface for the controlled object,thereby completing the design of the fuzzy controller.By taking the selective catalytic reduction(SCR)flue gas denitrification system of thermal power unit as the experimental object,this method is applied to design a fuzzy PID controller,and the effectiveness of this design method is verified through comparison with the conventional PID control.

关 键 词：模糊控制 粒子群算法 函数曲面 系统辨识 降维 烟气脱硝 

分 类 号：TM621[电气工程—电力系统及自动化]