Product flow rate control in ball mill grinding process using fuzzy logic controller

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 fo...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 761 - 764
Main Authors Xing-Gang Wu, Ming-Zhe Yuan, Hai-Bin Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Ball mill
Ball milling
Circuits
Control system synthesis
Control systems
Cybernetics
Fuzzy logic
Fuzzy logic control
Machine learning
Mathematical model
Milling machines
Nonlinear control systems
Time-delayed system
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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212373