Disturbance rejection control for Raymond mill grinding system based on disturbance observer

被引:0
作者
牛丹
陈夕松
杨俊
周杏鹏
机构
[1] KeyLaboratoryofMeasurementandControlofComplexSystemsofEngineeringofMinistryofEducation,SchoolofAutomation,SoutheastUniversity
关键词
disturbance observer; proportional integral-disturbance observer(PI-DOB); disturbance rejection; Raymond mill; grinding process;
D O I
暂无
中图分类号
TD453 [磨矿机]; TP273 [自动控制、自动控制系统];
学科分类号
0819 ; 080201 ; 0835 ;
摘要
In the Raymond mill grinding processes,high-accuracy control for the current of Raymond mill is vital to enhance the product quality and production efficiency as well as cut down the consumption of spare parts.However,strong external disturbances,such as variations of ore hardness and ore size,always exist.It is not easy to make the current of Raymond mill constant due to these strong disturbances.Several control strategies have been proposed to control the grinding processes.However,most of them(such as PID and MPC)reject disturbances merely through feedback regulation and do not deal with the disturbances directly,which may lead to poor control performance when strong disturbances occur.To improve disturbance rejection performance,a control scheme based on PI and disturbance observer is proposed in this work.The scheme combines a feedforward compensation part based on disturbance observer and a feedback regulation part using PI.The test results illustrate that the proposed method can obtain remarkable superiority in disturbance rejection compared with PI method in the Raymond mill grinding processes.
引用
收藏
页码:2019 / 2027
页数:9
相关论文
共 9 条
[1]  
Disturbance observer based position tracking of electro-hydraulic actuator[J]. 国凯,魏建华,田启岩. Journal of Central South University. 2015(06)
[2]  
Design of active disturbance rejection internal model control strategy for SISO system with time delay process[J]. 靳其兵,刘立业. Journal of Central South University. 2015(05)
[3]   基于模糊PID的雷蒙磨控制系统的设计与实现 [J].
吕矿生 ;
周杏鹏 ;
陶连斌 ;
牛丹 .
自动化仪表, 2009, 30 (02) :27-29
[4]   雷蒙磨粉碎自动控制系统的设计 [J].
孙浩 ;
周杏鹏 .
仪器仪表与分析监测, 2008, (01) :1-3
[5]  
Hybrid intelligent control for regrinding process in hematite beneficiation[J] . Dayong Zhao,Tianyou Chai,Hong Wang,Jun Fu. Control Engineering Practice . 2013
[6]  
Constrained model predictive control in ball mill grinding process[J] . Xi-song Chen,Qi Li,Shu-min Fei. Powder Technology . 2007 (1)
[7]  
Neural modelling, control and optimisation of an industrial grinding process[J] . James J. Govindhasamy,Seán F. McLoone,George W. Irwin,John J. French,Richard P. Doyle. Control Engineering Practice . 2004 (10)
[8]   Neurocontrol of a ball mill grinding circuit using evolutionary reinforcement learning [J].
Conradie, AVE ;
Aldrich, C .
MINERALS ENGINEERING, 2001, 14 (10) :1277-1294
[9]  
A survey of grinding circuit control methods: from decentralized PID controllers to multivariable predictive controllers[J] . André Pomerleau,Daniel Hodouin,André Desbiens,éric Gagnon. Powder Technology . 2000 (2)