Constrained model predictive control in ball mill grinding process

Powder Technology

Volumn 186, Issue 1, 2008, Pages 31-39

  Chen, Xi song ^a   Li, Qi ^a   Fei, Shu min ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Ball mill; Dynamic matrix control; Grinding process; Model predictive control; PID control

Indexed keywords

CONSTRAINT THEORY; MODEL PREDICTIVE CONTROL; PROBLEM SOLVING; THREE TERM CONTROL SYSTEMS;

DYNAMIC MATRIX CONTROL; GRINDING PROCESS;

BALL MILLING;

BALL MILLING; CONSTRAINT THEORY; MODEL PREDICTIVE CONTROL; PROBLEM SOLVING; THREE TERM CONTROL SYSTEMS;

ARTICLE; GRINDING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PREDICTION;

EID: 44649084347     PISSN: 00325910     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.powtec.2007.10.026     Document Type: Article

References (13)

1. Pomerleau A., Hodouin D., Desbiens A., and Gagnon E. A survey of grinding circuit control methods: from decentralized PID controllers to multivariable predictive controllers. Powder Technology 108 2 (2000) 103-115
2. Chen X.S., Wang L.L., Wang C.H., and Zhang J.S. Automatic control system design for ball mill in concentration process. Electrical Automation 26 4 (2004) 63-64
3. Radhakrishnan V.R. Model based supervisory control of a ball mill grinding circuit. Journal of Process Control (1999) 195-211
4. Chen X.S., and Wang M.L. Process control system (2005), Science Press, Beijing, China
5. Galan O., Barton G.W., and Romagndi J.A. Robust control of a SAG mill. Powder Technology 124 (2002) 264-271
6. Najim K., Hodouin D., and Desbiens A. Adaptive control: state of the art and application to a grinding process. Powder Technology 82 1 (1995) 59-68
7. Conradle A.V.E., and Aldrich C. Neurocontrol of a ball mill grinding circuit using evolutionary reinforcement learning. Minerals Engineering 14 (2001) 1277-1294
8. Duarte M., Sepulveda F., Castillo A., Contreras A., Lazcano V., Gimenez P., and Castelli L. A comparative experimental study of five multivariable control strategies applied to a grinding plant. Powder Technology (1999) 1-28
9. Rawlings J.B. Tutorial overview of model predictive control. IEEE Control Systems 20 3 (2000) 38-52
10. Cutler C.R., and Ramaker B.L. Dynamic matrix control - a computer control algorithm. AIChE national meeting, Houston, TX (1980)
11. Richalet J., Rault A., Testud J.L., and Papon J. Model predictive heuristic control: application to industrial processes. Automatica 14 (1978) 413
12. Bequette B.W. Process control: modeling, design, and simulation (2002), Prentice Hall, New Jersey, USA
13. Zhao Z., Xia X.H., Wang J.C., Gu J., and Jin Y.H. Nonlinear dynamic matrix control based on multiple operating models. Journal of Process Control 13 (2003) 41-56