메뉴 건너뛰기




Volumn 24, Issue 12, 2014, Pages 29-40

Optimal control of grinding mill circuit using model predictive static programming: A new nonlinear MPC paradigm

Author keywords

Comminution; Grinding mill; Model predictive control; Model predictive static programming; Optimal control

Indexed keywords

GRINDING MILLS; MODEL PREDICTIVE CONTROL;

EID: 84909644997     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2014.10.007     Document Type: Article
Times cited : (36)

References (35)
  • 1
    • 0042169265 scopus 로고
    • Specification framework for robust control of a run-of-mine ore milling circuit
    • I.K. Craig, and I.M. MacLeod Specification framework for robust control of a run-of-mine ore milling circuit Control Eng. Pract. 3 1995 621 630
    • (1995) Control Eng. Pract. , vol.3 , pp. 621-630
    • Craig, I.K.1    Macleod, I.M.2
  • 2
    • 58249095933 scopus 로고    scopus 로고
    • Grinding mill circuits - A survey of control and economic concerns
    • D. Wei, and I. Craig Grinding mill circuits - a survey of control and economic concerns Int. J. Miner. Process. 90 2009 56 66
    • (2009) Int. J. Miner. Process. , vol.90 , pp. 56-66
    • Wei, D.1    Craig, I.2
  • 3
    • 44649084347 scopus 로고    scopus 로고
    • Constrained model predictive control in a ball mill grinding process
    • X. Chen, Q. Li, and S. Fei Constrained model predictive control in a ball mill grinding process Powder Technol. 186 2008 31 39
    • (2008) Powder Technol. , vol.186 , pp. 31-39
    • Chen, X.1    Li, Q.2    Fei, S.3
  • 5
    • 0031079140 scopus 로고    scopus 로고
    • Model predictive control for grinding systems
    • A.J. Niemi, L. Tian, and R. Ylinen Model predictive control for grinding systems Control Eng. Pract. 5 1997 271 278
    • (1997) Control Eng. Pract. , vol.5 , pp. 271-278
    • Niemi, A.J.1    Tian, L.2    Ylinen, R.3
  • 6
    • 0033975908 scopus 로고    scopus 로고
    • A survey of grinding circuit control methods: From decentralized PID controllers to multivariable predictive controllers
    • A. Pomerleau, D. Hodouin, A. Desbiens, and E. Gagnon A survey of grinding circuit control methods: from decentralized PID controllers to multivariable predictive controllers Powder Technol. 108 2000 103 115
    • (2000) Powder Technol. , vol.108 , pp. 103-115
    • Pomerleau, A.1    Hodouin, D.2    Desbiens, A.3    Gagnon, E.4
  • 7
    • 10444258128 scopus 로고    scopus 로고
    • Control of ball mill grinding circuit using model predictive control scheme
    • M. Ramasamy, S.S. Narayanan, and C.D.P. Rao Control of ball mill grinding circuit using model predictive control scheme J. Process Control 15 2005 273 283
    • (2005) J. Process Control , vol.15 , pp. 273-283
    • Ramasamy, M.1    Narayanan, S.S.2    Rao, C.D.P.3
  • 8
    • 77955658560 scopus 로고    scopus 로고
    • Grinding circuit modeling and simulation of particle size control at Siilinjärvi concentrator
    • A. Remes, J. Aaltonen, and H. Koivo Grinding circuit modeling and simulation of particle size control at Siilinjärvi concentrator Int. J. Miner. Process. 96 2010 70 78
    • (2010) Int. J. Miner. Process. , vol.96 , pp. 70-78
    • Remes, A.1    Aaltonen, J.2    Koivo, H.3
  • 9
    • 67349141478 scopus 로고    scopus 로고
    • Economic performance assessment of two ROM ore milling circuit controllers
    • D. Wei, and I. Craig Economic performance assessment of two ROM ore milling circuit controllers Miner. Eng. 22 2009 826 839
    • (2009) Miner. Eng. , vol.22 , pp. 826-839
    • Wei, D.1    Craig, I.2
  • 10
    • 79951721724 scopus 로고    scopus 로고
    • Methods for automatic control, observation and optimization in mineral processing plants
    • D. Hodouin Methods for automatic control, observation and optimization in mineral processing plants J. Process Control 21 2011 211 225
    • (2011) J. Process Control , vol.21 , pp. 211-225
    • Hodouin, D.1
  • 11
    • 68149117293 scopus 로고    scopus 로고
    • Inferential measurement of SAG mill parameters V: MPC simulation
    • T.A. Apelt, and N.F. Thornhill Inferential measurement of SAG mill parameters V: MPC simulation Miner. Eng. 22 2009 1045 1052
    • (2009) Miner. Eng. , vol.22 , pp. 1045-1052
    • Apelt, T.A.1    Thornhill, N.F.2
  • 12
    • 73749088387 scopus 로고    scopus 로고
    • Disturbance rejection of ball mill grinding circuits using DOB and MPC
    • J. Yang, S. Li, X. Chen, and Q. Li Disturbance rejection of ball mill grinding circuits using DOB and MPC Powder Technol. 198 2010 219 228
    • (2010) Powder Technol. , vol.198 , pp. 219-228
    • Yang, J.1    Li, S.2    Chen, X.3    Li, Q.4
  • 13
    • 84872930913 scopus 로고    scopus 로고
    • Model-plant mismatch detection and model update for a run-of-mine ore milling circuit under model predictive control
    • L.E. Olivier, and I.K. Craig Model-plant mismatch detection and model update for a run-of-mine ore milling circuit under model predictive control J. Process Control 23 2013 100 107
    • (2013) J. Process Control , vol.23 , pp. 100-107
    • Olivier, L.E.1    Craig, I.K.2
  • 14
    • 34547791205 scopus 로고    scopus 로고
    • Application of model predictive control in ball mill grinding circuit
    • X. Chen, J. Zhai, S. Li, and Q. Li Application of model predictive control in ball mill grinding circuit Miner. Eng. 20 2007 1099 1108
    • (2007) Miner. Eng. , vol.20 , pp. 1099-1108
    • Chen, X.1    Zhai, J.2    Li, S.3    Li, Q.4
  • 17
    • 73249141260 scopus 로고    scopus 로고
    • Robust nonlinear model predictive control of a run-of-mine ore milling circuit
    • L.C. Coetzee, I.K. Craig, and E.C. Kerrigan Robust nonlinear model predictive control of a run-of-mine ore milling circuit IEEE Trans. Control Syst. Technol. 18 2010 222 229
    • (2010) IEEE Trans. Control Syst. Technol. , vol.18 , pp. 222-229
    • Coetzee, L.C.1    Craig, I.K.2    Kerrigan, E.C.3
  • 18
    • 84878939677 scopus 로고    scopus 로고
    • Reducing the number of size classes in a cumulative rates model used for process control of a grinding mill circuit
    • J.D. le Roux, and I.K. Craig Reducing the number of size classes in a cumulative rates model used for process control of a grinding mill circuit Powder Technol. 246 2013 169 181
    • (2013) Powder Technol. , vol.246 , pp. 169-181
    • Le Roux, J.D.1    Craig, I.K.2
  • 20
    • 77649190775 scopus 로고    scopus 로고
    • Fast model predictive control using online optimization
    • Y. Wang, and S. Boyd Fast model predictive control using online optimization IEEE Trans. Control Syst. Technol. 18 2010 267 278
    • (2010) IEEE Trans. Control Syst. Technol. , vol.18 , pp. 267-278
    • Wang, Y.1    Boyd, S.2
  • 21
    • 64349108343 scopus 로고    scopus 로고
    • Model predictive static programming: A computationally efficient technique for suboptimal control design
    • R. Padhi, and M. Kothari Model predictive static programming: a computationally efficient technique for suboptimal control design Int. J. Innov. Comput. Inf. Control 5 2009 399 411
    • (2009) Int. J. Innov. Comput. Inf. Control , vol.5 , pp. 399-411
    • Padhi, R.1    Kothari, M.2
  • 22
    • 84893393772 scopus 로고    scopus 로고
    • Robust re-entry guidance of a reusable launch vehicle using model predictive static programming
    • O. Halbe, R.G. Raja, and R. Padhi Robust re-entry guidance of a reusable launch vehicle using model predictive static programming J. Guidance Control Dyn. 37 2014 134 148
    • (2014) J. Guidance Control Dyn. , vol.37 , pp. 134-148
    • Halbe, O.1    Raja, R.G.2    Padhi, R.3
  • 23
    • 84855315718 scopus 로고    scopus 로고
    • Impact-angle-constrained suboptimal model predictive static programming guidance of air-to-ground missiles
    • H.B. Oza, and R. Padhi Impact-angle-constrained suboptimal model predictive static programming guidance of air-to-ground missiles J. Guidance Control Dyn. 35 2012 153 164
    • (2012) J. Guidance Control Dyn. , vol.35 , pp. 153-164
    • Oza, H.B.1    Padhi, R.2
  • 25
    • 84883502996 scopus 로고    scopus 로고
    • Formation flying of small satellites using suboptimal MPSP guidance
    • Washington, DC, USA
    • G. Joshi, and R. Padhi Formation flying of small satellites using suboptimal MPSP guidance Proceedings of the American Control Conference Washington, DC, USA June 2013 1584 1589
    • (2013) Proceedings of the American Control Conference , pp. 1584-1589
    • Joshi, G.1    Padhi, R.2
  • 26
    • 84883496064 scopus 로고    scopus 로고
    • Generalized model predictive static programming and its application to 3D impact angle constrained guidance of air-to-surface missiles
    • Washington, DC, USA
    • A. Maity, H.B. Oza, and R. Padhi Generalized model predictive static programming and its application to 3D impact angle constrained guidance of air-to-surface missiles Proceedings of the American Control Conference Washington, DC, USA June 2013 4999 5004
    • (2013) Proceedings of the American Control Conference , pp. 4999-5004
    • Maity, A.1    Oza, H.B.2    Padhi, R.3
  • 28
    • 84909632253 scopus 로고    scopus 로고
    • Output tracking for a milling circuit using model predictive static programming
    • Cape Town, South Africa 10.3182/20140824-6-ZA-1003.01902
    • J.D. le Roux, I.K. Craig, and R. Padhi Output tracking for a milling circuit using model predictive static programming Proceedings of the 19th IFAC World Congress Cape Town, South Africa August 2014 9792 9797 10.3182/20140824-6-ZA-1003.01902
    • (2014) Proceedings of the 19th IFAC World Congress , pp. 9792-9797
    • Le Roux, J.D.1    Craig, I.K.2    Padhi, R.3
  • 30
    • 84875942443 scopus 로고    scopus 로고
    • Analysis and validation of a run-of-mine ore grinding mill circuit model for process control
    • J.D. le Roux, I.K. Craig, D.G. Hulbert, and A.L. Hinde Analysis and validation of a run-of-mine ore grinding mill circuit model for process control Miner. Eng. 43-44 2013 121 134
    • (2013) Miner. Eng. , vol.43-44 , pp. 121-134
    • Le Roux, J.D.1    Craig, I.K.2    Hulbert, D.G.3    Hinde, A.L.4
  • 32
  • 33
    • 84896350876 scopus 로고    scopus 로고
    • Combined neural network and particle filter state estimation with application to a run-of-mine ore mill
    • Mumbai, India
    • M.A. Naidoo, L.E. Olivier, and I.K. Craig Combined neural network and particle filter state estimation with application to a run-of-mine ore mill Proceedings of the 10th IFAC Symposium Dynamics Control Process Systems Mumbai, India December 2013 397 402 10.3182/20131218-3-IN-2045.00103
    • (2013) Proceedings of the 10th IFAC Symposium Dynamics Control Process Systems , pp. 397-402
    • Naidoo, M.A.1    Olivier, L.E.2    Craig, I.K.3
  • 34
    • 84859523377 scopus 로고    scopus 로고
    • Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill
    • L.E. Olivier, B. Huang, and I.K. Craig Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill J. Process Control 22 2012 710 717
    • (2012) J. Process Control , vol.22 , pp. 710-717
    • Olivier, L.E.1    Huang, B.2    Craig, I.K.3
  • 35
    • 0036967979 scopus 로고    scopus 로고
    • Inferential measurement of SAG mill parameters. II: State estimation
    • T.A. Apelt, S.P. Asprey, and N.F. Thornhill Inferential measurement of SAG mill parameters. II: State estimation Miner. Eng. 15 2002 1043 1053
    • (2002) Miner. Eng. , vol.15 , pp. 1043-1053
    • Apelt, T.A.1    Asprey, S.P.2    Thornhill, N.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.