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Research Articles

Control of high-order processes: repeated-pole plus dead-time models' identification

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Pages 141-151 | Received 01 Feb 2021, Accepted 03 Jul 2021, Published online: 22 Jul 2021

References

  • Alfaro, V. M. (2006). Low-order models identification from the process reaction curve. Ciencia y Tecnología (Costa Rica), 24(2), 197–216 (in Spanish). https://revistas.ucr.ac.cr/index.php/cienciaytecnologia/article/view/2647
  • Alfaro, V. M., & Vilanova, R. (2013). Simple robust tuning of 2DoF PID controllers from a performance/robustness trade-off analysis. Asian Journal of Control, 15(5), 1–14. https://doi.org/10.1002/asjc.653
  • Alfaro, V. M., & Vilanova, R. (2016). Model-reference robust tuning of PID controllers. Springer International Publishing AG.
  • Åström, K. J., & Hägglund, T. (1984). Automatic tuning of simple regulators with specification on phase and amplitude margins. Automatica, 20(5), 645–651. https://doi.org/10.1016/0005-1098(84)90014-1
  • Åström, K. J., & Hägglund, T. (2006). Advanced PID control. ISA - The Instrumentation, Systems, and Automation Society.
  • Bajarangbali, R., & Majhi, S. (2018). Estimation of first and second order process model parameters. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 88(4), 557–563. https://doi.org/10.1007/s40010-017-0357-6
  • Berner, J., Hägglund, T., & Åström, K. J. (2016). Asymmetric relay autotuning - practical features for industrial use. Control Engineering Practice, 54(5), 231–245. https://doi.org/10.1016/j.conengprac.2016.05.017
  • Berner, J., Soltesz, K., Hägglund, T., & Åström, K. J. (2018). An experimental comparison of PID autotuners. Control Engineering Practice, 73(6), 124–133. https://doi.org/10.1016/j.conengprac.2018.01.006
  • The Bharat Heavy Electricals Limited. (n.d.). Transfer function of a super heated steam temperature system of 500 MW boiler. R&D Technical Information Sheet, BHEL.
  • Byrski, W. (2017). A new method of multi-inertial system identification by the Strejc model. In W. Mitkowsli, J. Kacprzyk, K. Oprzedkiewicz, & P. Skruch (Eds.), Trends in advanced intelligent control, optimization and automation (Advances in Intelligent Systems and Computing 577). Springer International Publishing AG.
  • Eurotherm Limited. (2014, January). 3200 series process controller - user manual. HA028651 Issue 13.0.
  • Goodwin, G. C., Graebe, S. F., & Salgado, M. E. (2001). Control systems design. Prentice-Hall Inc.
  • Honeywell Process Solutions (2012, March). UDC3500 universal digital controller product manual. 51-52-25-120 Rev. 4.
  • Huang, C-T., & Clements, W. C. (1982). Parameter estimation for the second-order-plus-dead-time model. Industrial & Engineering Chemistry Process Design and Development, 21(4), 601–603. https://doi.org/10.1021/i200019a011
  • Huang, C-T., & Huang, M-F. (1993). Estimation of the second-order parameters from the process transient by simple calculation. Industrial & Engineering Chemistry Research, 32(1), 228–230. https://doi.org/10.1021/ie00013a030
  • Huang, H-P., & Jeng, J.-C. (2005). Process reaction curve and relay methods identification and PID tuning. In M. A. Johson & M. H. Moradi (Eds.), PID control: New identification and design methods. Springer-Verlag London Limited.
  • Huang, H.-P., Lee, M.-W., & Chen, C.-L. (2001). A system of procedures for identification of simple models using transient step response. Industrial & Engineering Chemistry Research, 40(8), 1903–1915. https://doi.org/10.1021/ie0005001
  • Lee, J., & Edgar, T. F. (2018, June 12–15). Three-parameter models for conservative relay feedback autotuning. In B. Huang, R. Findeisen, M. Guay, and B. Gopaluni (Eds.)., 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015: Whistler, Canada (pp. 975–980).
  • Lee, J., Sung, S. W., & Edgar, F. (2015). Stability margin interpretation of the SIMC tuning rule for PI controllers and its applications. IFAC-PapersOnLine, 48(8), 1186–1191. https://doi.org/10.1016/j.ifacol.2015.09.129
  • Levenberg, K. (1944). A method for the solution of certain non-Linear problems in least squares. Quarterly of Applied Mathematics, II(2), 164–168. https://doi.org/10.1090/qam/1944-02-02
  • Liu, T., & Gao, F. (2012). Industrial process identification and control design - step-test and relay-experiment-based methods. Springer-Verlag London Limited.
  • Liu, T., Wang, Q.-G., & Huang, H.-P. (2013). A tutorial review on process identification from step or relay feedback test. Journal of Process Control, 23(10), 1597–1623. https://doi.org/10.1016/j.jprocont.2013.08.003
  • Ljung, L. (2002). Identification for control: Simple process models. In U. Ozguner, and K. Loparo (Eds.)., Proceedings of the 41st IEEE Conference on Decision and Control (pp. 4652–4657). IEEE.
  • Marquardt, D. W. (1963). An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11(2), 431–441. https://doi.org/10.1137/0111030
  • Mikleŝ, J., & Fikar, M. (2007). Process modelling, identification, and control. Springer-Verlag Berlin Heidelberg.
  • Nelder, J. A., & Mead, R. (1965). A simplex method for function minimization. The Computer Journal, 7(4), 308–313. https://doi.org/10.1093/comjnl/7.4.308
  • Rao, P. V. G. K., Subramanyam, M. V., & Satyaprasad, K. (2013). Model based tuning of PID controller. Journal of Control and Instrumentation, 4(1), 16–22. https://doi.org/10.37591/joci.v4i1.2155
  • Sarif, B. M., Kumar, D. V. A., & Rao, M. V. G. (2018). Comparison study of PID controller tuning using clasical/analytical methods. International Journal of Applied Engineering Research, 13(8), 5618–5625. https://www.ripublication.com/ijaer18/ijaerv13n8_07.pdf
  • Schultz, W. C., & Rideout, V. C. (1961). Control system performance measures: Past, present, and future. IRE Transactions on Automatic Control, AC-6(1), 22–35. https://doi.org/10.1109/TAC.1961.6429306
  • Skogestad, S. (2003). Simple analytic rules for model reduction and PID controller tuning. Journal of Process Control, 13(4), 291–309. https://doi.org/10.1016/S0959-1524(02)00062-8
  • Strejc, V. (1959). Näherungsverfahren für Aperiodische Übertragscharacteristiken. Regelungstechnik, 7(7), 124–128.
  • Sundaresan, K. R., & Krishnaswamy, P. R. (1978). Estimation of time delay time constant parameters in time, frequency, and Laplace domains. The Canadian Journal of Chemical Engineering, 56(2), 257–262. https://doi.org/10.1002/cjce.v56:2
  • Tsakalis, K. S., & Dash, S. (2012). Identification for PID control. In R. Vilanova & A. Visioli (Eds.), PID control in the third-millennium (pp. 283–317). Springer-Verlag London Limited.
  • Visioli, A. (2005, December 12–15). Model-based PID tuning for high-order processes: When to approximate. In E. Camacho, and R. Tempo (Eds.)., 44th IEEE Conference on Decision and Control, and the European Control Conference. IEEE.
  • Visioli, A. (2006). Practical PID control. Springer Verlag Advances in Industrial Control Series.
  • Wang, Q.-G., Hang, C.-C., & Zou, B. (1997). Low-order modeling from relay feedback. Industrial & Engineering Chemistry Research, 36(2), 375–381. https://doi.org/10.1021/ie960412+
  • West Control Solutions. (2017, June). Pro-EC44 user manual. 59540–4.
  • Yu, C.-C. (2006). Autotuning of PID controllers: A relay feedback approach (2nd ed.). Springer-Verlag London Ltd.

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