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
陆晨旭,高海东,高林,高耀岿,吕海涛,李华
摘要(Abstract):
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。
关键词(KeyWords): 模糊控制;粒子群算法;函数曲面;系统辨识;降维;烟气脱硝
基金项目(Foundation): 中国华能集团有限公司总部科技项目(HNKJ20-H80-01)~~
作者(Author): 陆晨旭,高海东,高林,高耀岿,吕海涛,李华
DOI: 10.19666/j.rlfd.202110218
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