146
Views
2
CrossRef citations to date
0
Altmetric
Articles

An Adaptive Decoupling Control Design for Flotation Column: A Comparative Study Against Model Predictive Control

, ORCID Icon, , &

REFERENCES

  • M. C. Fuerstenau and K. N. Han, Principles of Mineral Processing. Colorado: SME, 2003.
  • J. Finch, “Column flotation: A selected review – part IV: Novel flotation devices,” Miner. Eng., Vol. 8, pp. 587–602, Jun. 1995. doi: 10.1016/0892-6875(95)00023-J
  • S. C. Shukla, G. Kundu, and D. Mukherjee, “Study of gas holdup and pressure characteristics in a column flotation cell using coal,” Miner. Eng., Vol. 23, pp. 636–642, Jul. 2010. doi: 10.1016/j.mineng.2010.03.005
  • J. Bouchard, A. Desbiens, R. del Villar, and E. Nunez, “Column flotation simulation and control: An overview,” Miner. Eng., Vol. 22, pp. 519–529, May. 2009. doi: 10.1016/j.mineng.2009.02.004
  • M. Maldonado, A. Desbiens, R. del Villar, E. Girgin, and C. Gomez, “Online estimation of bubble size distributions using Gaussian Mixture models,” in Proceedings of 5th International Mineral Processing Seminar, Procemin, Santiago, 2008. pp. 22–24.
  • D. Sbárbaro and R. Del Villar, Advanced Control and Supervision of Mineral Processing Plants. New York: Springer Science & Business Media, 2010.
  • M. Milot, A. Desbiens, R. Del Villar, and D. Hodouin, “Identification and multivariable nonlinear predictive control of a pilot flotation column,” in Proceedings of 21th International Mineral Processing Congress, Rome, 2000.
  • E. Nunez, A. Desbiens, R. Del Villar, and C. Duchesne, “Multivariable predictive control of a pilot flotation column. Part 2: Identification and control,” in International Conference on Mineral Process Modelling, Simulation and Control, Ontario, 2006.
  • M. Maldonado, A. Desbiens, and R. del Villar, “Decentralized control of a pilot flotation column: A 3× 3 system,” Can. Metall. Q., Vol. 47, pp. 377–385, Dec. 2008. doi: 10.1179/cmq.2008.47.4.377
  • M. Maldonado, A. Desbiens, and R. del Villar, “Potential use of model predictive control for optimizing the column flotation process,” Int. J. Miner. Process., Vol. 93, pp. 26–33, Sep. 2009. doi: 10.1016/j.minpro.2009.05.004
  • S. Mohanty, “Artificial neural network based system identification and model predictive control of a flotation column,” J. Process Control, Vol. 19, pp. 991–999, Jun. 2009. doi: 10.1016/j.jprocont.2009.01.001
  • D. Calisaya, É Poulin, A. Desbiens, R. del Villar, and A. Riquelme, “Multivariable predictive control of a pilot flotation column,” in American control Conference (ACC), IEEE, Montréal, 2012.
  • A. D. Riquelme, R. Del Villar, and M. Maldonado, “Predictive control of the bubble size distribution in a two-phase pilot flotation column,” Miner. Eng., Vol. 89, pp. 71–76, Apr, 2016. doi: 10.1016/j.mineng.2016.01.014
  • J. B. Vazirizadeh and Y. Chen, “Effect of particles on bubble size distribution and gas hold-up in column flotation,” Int. J. Miner. Process., Vol. 157, pp. 163–173, Dec. 2016. doi: 10.1016/j.minpro.2016.10.005
  • J. B. Vazirizadeh and R. del Villar, “On the relationship between hydrodynamic characteristics and the kinetics of column flotation. Part I: Modeling the gas dispersion,” Miner. Eng., Vol. 74, pp. 207–215, Apr. 2015. doi: 10.1016/j.mineng.2014.09.026
  • J. B. Vazirizadeh, R. del Villar, M. G. Barvarz, and C. Duchesne, “On the relationship between hydrodynamic characteristics and the kinetics of flotation. Part II: Model validation,” Miner. Eng., Vol. 74, pp. 198–206, Apr. 2015. doi: 10.1016/j.mineng.2014.11.012
  • B. J. Shean and J. Cilliers, “A review of froth flotation control,” Int. J. Miner. Process., Vol. 100, pp. 57–71, Sep. 2011. doi: 10.1016/j.minpro.2011.05.002
  • L. Sun, J. Dong, D. Li, and K. Y. Lee, “A practical multivariable control approach based on inverted decoupling and decentralized active disturbance rejection control,” Ind. Eng. Chem. Res., Vol. 55, pp. 2008–2019, Feb. 2016. doi: 10.1021/acs.iecr.5b03738
  • R. H. M. Wittenmark and G. C. Goodwin, “Adaptive decoupling of multivariable systems,” Int. J. Control, Vol. 46, pp. 1993–2009, Dec.1987. doi: 10.1080/00207178708934029
  • J. C. Bai, Z. Ren, Q. Li, and Z. Xiong, “Adaptive decoupling control of hypersonic vehicle using fuzzy-neural network observer,” Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 230, pp. 1216–1223, Jun. 2016. doi: 10.1177/0954410015606165
  • L. Sun, Y. Jin, and F. You, “Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell,” Appl. Energy, Vol. 261, pp. 114381, 2020. doi: 10.1016/j.apenergy.2019.114381
  • Y. Fu, Q. Du, X. J. Zhou, J. Fu, and T. Y. Chai, “Dual-rate adaptive decoupling controller and its application to a dual-tank water system,” in Annual American Control Conference (ACC), Milwaukee, 2018, pp. 2533–2538.
  • Y. Wang, Y. Bai, N. Zhang, J. Fu, T. Y. Chai, and Z. Piao, “Nonlinear adaptive decoupling control for the forced-circulation evaporation process,” in 36th Chinese Control Conference (CCC) IEEE, Dalian, 2017.
  • K. Shi, X. Yin, L. Jiang, Y. Liu, Y. Hu, and H. Wen, “Perturbation estimation based nonlinear adaptive power decoupling control for DFIG wind turbine,” IEEE Trans. Power Electron., Vol. 35, pp. 319–333, Apr. 2019. doi: 10.1109/TPEL.2019.2911886
  • M. Persechini, F. Jota, and A. Peres, “Dynamic model of a flotation column,” Miner. Eng., Vol. 13, pp. 1465–1481, Dec. 2000. doi: 10.1016/S0892-6875(00)00131-X
  • L. Ljung, System Identification. New Jersey: Wiley Encyclopedia of Electrical and Electronics Engineering, 1999.
  • G. Liptak, Instrument Engineers’ Handbook, Volume Two: Process Control and Optimization. Florida: CRC press, 2018.
  • E. Bristol, “On a new measure of interaction for multivariable process control,” IEEE Trans. Autom. Control, Vol. 11, pp. 133–134, Jan. 1966. doi: 10.1109/TAC.1966.1098266
  • E. Seborg, D. A. Mellichamp, T. F. Edgar, and F. J. Doyle, Process Dynamics and Control. New Jersey: John Wiley & Sons, 2010.
  • F. Camacho and C. B. Alba, Model Predictive Control. New York: Springer Science & Business Media, 2013.
  • Y. Yang and Y. Hao, “Adaptive control with decoupling algorithm for the hovering submarines,” in IEEE International Conference on Information and Automation, Harbin. 2010, pp. 1382–1386.
  • P. Nordfeldt and T. Hägglund, “Decoupler and PID controller design of TITO systems,” J. Process Control, Vol. 16, pp. 923–936, Oct. 2006. doi: 10.1016/j.jprocont.2006.06.002
  • E. Rivera, Internal Model Control: A Comprehensive View. Arizona State University, Arizona, 1999.
  • P. Young, Recursive Estimation and Time-series Analysis: An Introduction. New York: Springer Science & Business Media, 2012.
  • A. Hugo, “Limitations of model predictive controllers,” Hydrocarbon Process., Int. Ed., Vol. 5, pp. 83–88, Jan. 2000.
  • M. A. Persechini, A. E. C. Peres, and F. G. Jota, “Control strategy for a column flotation process,” Control. Eng. Pract., Vol. 12, pp. 963–976, Aug. 2004. doi: 10.1016/j.conengprac.2003.11.003

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.