摘要
提出了一种改进型模糊线性自抗扰控制器(Fuzzy-MLADRC),该控制器采用高阶惯性环节对对象的大迟延特性进行补偿,并采用模糊规则对控制器参数进行调整。在选择性催化还原(SCR)脱硝系统中对Fuzzy-MLADRC进行了仿真研究,并将其与多种控制器的调节性能进行比较。结果表明:对于大惯性、大迟延对象,Fuzzy-MLADRC的设定值追踪能力更强;在模型发生失配的情况下,Fuzzy-MLADRC相较于其他控制器具有更好的鲁棒性。
An improved fuzzy linear active disturbance rejection controller(Fuzzy-MLADRC)was proposed.High-order inertial element was employed to compensate the large delay characteristics of the system in the controller,and fuzzy rules were also used to adjust parameters of the controller appropriately.The controller was then simulated in SCR denitration system and the results were compared with that of other controllers.Results show that the proposed controller can achieve more satisfactory set point tracking ability on a large delay and large inertial system,which has stronger robustness than other controllers in the case of model mismatch.
作者
杜鸣
牛玉广
潘翔峰
曹国庆
马强
庄志宝
DU Ming;NIU Yuguang;PAN Xiangfeng;CAO Guoqing;MA Qiang;ZHUANG Zhibao(State Key Laboratory for Alternate Electric Power System with Renewable Energy Source,North China Electric Power University,Beijing 102206,China;Jinlin Electric Power Co.,Ltd.,Baicheng Power Generation Company,Baicheng 137000,Jilin Province,China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2021年第9期743-748,757,共7页
Journal of Chinese Society of Power Engineering
基金
国家重点研发计划资助项目(2017YFB0902100)。
关键词
SCR脱硝系统
自抗扰控制器
模糊控制
改进型控制器
模型失配
鲁棒性
SCR denitrification system
active disturbance rejection controller
fuzzy control
modified controller
model mismatch
robustness
