摘要
以干扰床TBS粗煤泥分选控制系统为研究对象,针对其难以建立被控对象精准数学模型的问题,采用紧格式的无模型自适应控制方法,设计开发了粗煤泥分选系统控制器,并与传统PID和Fuzzy-PID控制进行仿真对比。结果表明:粗煤泥分选系统的无模型自适应控制超调量小,跟踪用时短,可以有效地减少因控制系统超调量过高而造成的跑粗现象;并且相比传统PID和Fuzzy-PID控制,其适应能力和抗干扰能力更强,能有效提高精煤产品的质量。
Taking interfering bed TBS slime separation control system as the object of the research,for which the problem is difficult to establish precise mathematical model of the controlled object,a tight format of model-free adaptive control method,designed and developed slime separation system controller and simulation comparison with traditional PID and Fuzzy-PID control.The results show that the model-free adaptive control of the coarse slime sorting system is small,and the tracking time is short,which can effectively reduce the rough running phenomenon caused by the excessive overshoot of the control system;and compared with the traditional PID and Fuzzy-PID control,its adaptability and anti-interference ability are stronger,which can effectively improve the quality of clean coal products.
作者
刘晓红
韦鲁滨
于海洋
LIU Xiaohong;WEI Lubin;YU Haiyang(School of Chemical&Environmental Engineering,China University of Mining&Technology(Beijing),Beijing 100083,China;Shandong Jiaotong University,Jinan 250357,China)
出处
《中国矿业》
北大核心
2020年第2期82-87,共6页
China Mining Magazine
关键词
粗煤泥分选机
无模型自适应
分选控制系统
非线性控制系统
coarse slime sorting machine
model-free adaptation
sorting control system
nonlinear control system
