Title :
Product flow rate control in ball mill grinding process using fuzzy logic controller
Author :
Wu, Xing-gang ; Yuan, Ming-zhe ; Yu, Hai-Bin
Author_Institution :
Key Lab. of Ind. Inf., Chinese Acad. of Sci., Shenyang, China
Abstract :
This paper shows a strategy for the fuzzy logic control system using an offline simulated ball mill grinding approach. In this study, a step change in the force reference signal is considered a disturbance. The current study focuses on the design and implementation of a fuzzy logic control system for product flow rate of ball mill grinding process. The performance of the system is analyzed by simulating the system using Simulink toolbox of Matlab. Simulation results demonstrate good convergence properties of the proposed strategy that the fuzzy logic control system is better than the PID control system in terms of robustness and less sensitiveness to parameter variations.
Keywords :
ball milling; flow control; fuzzy control; grinding; production control; sensitivity analysis; stability; three-term control; Matlab; PID control system; Simulink toolbox; ball mill grinding process; force reference signal; fuzzy logic controller; product flow rate control; robustness; sensitivity analysis; Ball milling; Circuits; Control system synthesis; Control systems; Cybernetics; Fuzzy logic; Machine learning; Mathematical model; Milling machines; Nonlinear control systems; Ball mill; Fuzzy logic control; Time-delayed system;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212373