The application research of several methods in the ball mill pulverizing system

Author

Su, Jie ; Zhang, Lan-zhen ; Cui, Yong-le ; Zeng, Xin

Author_Institution

Dept. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China

Volume

4

fYear

2009

fDate

12-15 July 2009

Firstpage

2170

Lastpage

2176

Abstract

Aiming at the ball mill pulverizing system, the controller is designed using the auto-disturbance-rejection controller (ADRC) method, reversed-frame normalizing (RFN) method and H-infinite method by analysing the dynamic characteristics. The simulation results show that the three methods could overcome the multivariable disturbance and the coupling characteristics of the object with good anti-disturbance ability and robustness meeting the requirements of system control.

Keywords

ball milling; controllers; machine control; robust control; H-infinite method; anti-disturbance ability; auto-disturbance-rejection controller; ball mill pulverizing system; reversed-frame normalizing method; robustness; system control; Arithmetic; Ball milling; Control system synthesis; Control systems; Cybernetics; Design engineering; Machine learning; Mathematical model; Power generation; Temperature; Auto-disturbance-rejection controller; Decoupling; H-infinite; eversed-frame normalizing method;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2009.5212156

Filename

5212156