摘要
为进一步提高火电机组脱硫系统的控制品质,用广义预测控制器替代传统脱硫pH值串级控制主调比例微分积分(PID)控制器,并通过算法简化与函数拟合提出了一种组态化预测控制方法,基于该算法通过集散控制系统(DCS)组态设计脱硫pH值控制系统。结果表明:组态化预测控制对pH值的控制在调节时间、超调量及动态偏差等方面均优于传统串级PID控制,可显著提高pH值的调节精度同时降低调节时间;与常规广义预测控制相比,组态化预测控制的控制性能基本相同。
To further improve the control quality upon desulfurization systems of thermal power units,a generalized predictive controller was used to replace the traditional primary PID controller for pH value cascade control of the desulfurization systems.Meanwhile,a configuration predictive control method was proposed by simplifying the algorithm and fitting the functions,based on which,a new pH value control system was designed through DCS configuration.Results show that the configuration predictive controller is superior to traditional cascade controller in terms of adjustment time,overshoot and dynamic deviation,which can significantly improve the adjustment accuracy and reduce the adjustment time on pH values.Compared with conventional generalized predictive controller,the configuration predictive controller has basically the same control performance.
作者
华伟
崔晓波
帅云峰
黄治军
HUA Wei;CUI Xiaobo;SHUAI Yunfeng;HUANG Zhijun(Jiangsu Frontier Electric Power Technology Co.,Ltd.,Nanjing 211102,China;School of Energy and Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;School of Energy and Environment,Southeast University,Nanjing 210096,China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2019年第7期562-567,575,共7页
Journal of Chinese Society of Power Engineering
关键词
石灰石浆液
脱硫系统
PH值
广义预测控制
组态
limestone slurry
desulfurization system
pH value
generalized predictive control
configuration
