DocumentCode
3572525
Title
The new challenges on advanced process control raised by large-scale grinding equipment
Author
Xi-song Chen ; Jun Yang ; Shihua Li ; Jun-yong Zhai
Author_Institution
Sch. of Autom., Southeast Univ., Nanjing, China
fYear
2014
Firstpage
760
Lastpage
765
Abstract
In recent years, the trend in large-scale equipment of grinding classification process becomes increasingly common in metallurgical plant. This trend raised the new requirement of much higher efficiency and performance precision in large-scale griding process. Taking into account the peculiarity of strong disturbances and wide operation range in most of domestic concentration plant, several practical and feasible advanced process control strategies have been analyzed in this paper. A anti-disturbance based multivariable composite control method is proposed for large-scale grinding process. An improved disturbance observer is constructed for time-delay process, which is combined with model predictive control to enhance the disturbance rejection performance and multivariable decoupling ability. Based on the models developed in different operation points, the multi-model switching control strategy is also proposed to improve the adaption performance against different operation conditions, which eventually the control accuracy of the product particle size.
Keywords
delays; grinding; grinding machines; industrial plants; metallurgical industries; multivariable control systems; observers; predictive control; process control; adaption performance improvement; advanced process control; anti disturbance based multivariable composite control method; disturbance observer; disturbance rejection performance enhancement; domestic concentration plant; grinding classification process; large-scale grinding equipment; metallurgical plant; model predictive control; multimodel switching control strategy; multivariable decoupling ability enhancement; operation points; product particle size control accuracy; strong disturbances; time-delay process; wide operation range; Automation; Control systems; Educational institutions; Market research; Observers; Predictive control; disturbance rejection; large-scale grinding and classification process; multi-model switching control; multivariable decoupling control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7052811
Filename
7052811
Link To Document