烟气脱硫智能控制系统研究  

Research on intelligent control system of flue gas desulfurization

作　　者：梁克顺 马立新[1] 郭玲妹 LIANG Keshun;MA Lixin;GUO Lingmei(School of Optical-Electrical and Computer Engineering,University of Shanghai forScience & Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《电力科学与工程》2019年第4期59-63,共5页Electric Power Science and Engineering

摘　　要：目前,在我国能源结构中,火力发电投入的比例很大,故此控制SO_2的排放尤为重要。烟气脱硫控制系统具有时变、滞后大、非线性和大惯性的特点,大滞后性问题可以利用Smith预估控制方案来解决。但传统的Smith控制器需要精准的模型才能得到较好的效果。但在脱硫系统往往无法提供精准的模型。在此基础上,提出了自适应Smith预估器烟气脱硫控制模型,并用MATLAB进行了仿真。结果表明,自适应Smith控制器在烟气脱硫控制系统中有较好的效果,明显提高了其抗干扰性能,使系统具有了良好的鲁棒性,缩短了调节时间,降低了超调量。At present,in China’s energy structure,the proportion of investment in thermal power generation is very large,so it is particularly important to control the emission of SO2.The flue gas desulphurization control system is characterized by time-varying,large hysteresis,non-linearity and large inertia.However,traditional Smith controller requires accurate model to achieve better results.But in the desulphurization system,it is impossible to provide accurate model.In view of this situation,an adaptive Smith estimator flue gas desulphurization control model was proposed in this paper and simulated in MATLAB.The results show that the adaptive Smith controller has a good effect in the flue gas desulphurization control system,which obviously improves its anti-interference performance,makes the system have good robustness,shortens the adjustment time and reduces the overdose.

关 键 词：烟气脱硫 Smith预估 自适应 抗干扰 精准模型 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]