Title :
Iterative learning based particle size distribution control in grinding process using output PDF method
Author :
Xubin Sun ; Jinliang Ding ; Hong Wang ; Tianyou Chai ; Hairong Dong
Author_Institution :
Fac. of Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
This paper presents an Iterative Learning Control (ILC) algorithm to improve the control performance of ball milling process batch by batch, where the output PDF method is adopted in each batch. Firstly, the ball milling process is modeled based on Population Balance Equations with first-order breakage functions. Secondly, output PDF method is adopted within each batch to make the particle size distribution follow a target one as close as possible. An ILC algorithm is developed to tune the parameters of basis functions based on Gradient Descent Method. Finally, simulation results are presented where control performance is improved.
Keywords :
ball milling; batch processing (industrial); gradient methods; grinding; learning systems; particle size; probability; process control; size control; ILC algorithm; PDF method; ball milling process; basis function; batch process; breakage function; gradient descent method; grinding process; iterative learning based particle size distribution control; population balance equation; probability density function; Ball milling; Equations; Feeds; Integrated circuit modeling; Mathematical model; Process control; Slurries;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6565181
