Una metodología para la identificación integrada con el diseño de controladores IMC-PID
Enviado: 14-09-2017
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|Publicado: 08-11-2007
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Palabras clave:
identificación de sistemas, control PID, reducción de modelos, modelado orientado al control, control con modelo interno (IMC)
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Adusumilli, S. (1999). Novel methodologies for integrated identification and robust process control. PhD thesis. Arizona State University. Department of Chemical Engineering.
Aström, K.J. and T. Hägglund (2006). Advanced PID Control. Instrument Society of America. Research Triangle Park, North Carolina.
Atherton, D.P. (1999). PID controller tuning. Computing and Control Engineering Journal 10(2), 44–50.
Braun, M.W., R. Ortiz-Mojica and D.E. Rivera (2002). Application of minimum crest factor multisinusoidal signals for “plant-friendly” identification of nonlinear process systems. Control Engineering Practice 10, 301 – 313.
Godfrey, K.R., A.H. Tan, H.A. Barker and B. Chong (2005). A survey of readily accesible perturbation signals for system identification in the frequency domain. Control Engineering Practice 13, 1391 – 1402.
Godfrey, K.R., Ed. (1993). Perturbation Signals For System Identification. Prentice Hall International (UK) Limited. Hertfordshire, UK.
Heuberger, P.S.C., den Hof, P.M.J. Van and Wahlberg, B., Eds. (2005). Modelling and Identification with Rational Orthogonal Basis Functions. Springer-Verlag.
Heuberger, P.S.C., P. M. J. Van den Hof and O. H. Bosgra (1995). A Generalized Orthonormal Basis for Linear Dynamical Systems. IEEE Transactions on Automatic Control 40(3), 451–465.
Johnson, M.A. and M. H. Moradi (2005). PID Control: New Identification and Design Methods. Springer-Verlag. London.
Lee, W. and V.W. Weekman (1976). Advanced control practice in the chemical industry: A view from industry. AIChE Journal 22, 27– 38.
Li, Y., K. H. Ang and G.C.Y. Chong (2006). Patents, software, and hardware for PID control: an overview and analysis of the current art. IEEE Control Systems Magazine 26(1), 42 – 53.
Ljung, L. (1999). System Identification: Theory for the User. 2nd ed. Prentice-Hall. New Jersey.
Ljung, L. and T. Glad (1994). Modeling of Dynamic Systems. Prentice-Hall. New Jersey.
Morari, M. and E. Zafiriou (1989). Robust Process Control. Prentice-Hall. New Jersey.
Ninness, B. and F. Gustafsson (1993). A Unifying Construction of Orthonormal Bases for System Identification. IEEE Transactions on Automatic Control 42(4), 515–521.
O’Dwyer, A. (2003). Handbook of PI and PID controller tuning rules. World Scientific Publishing. Singapore.
Ogunnaike, B. A. and W. H. Ray (1994). Process Dynamics, Modeling, and Control. Oxford University Press. New York.
Parker, R.S., D. Heemstra, F.J. Doyle III, R.K. Pearson and B.A. Ogunnaike (2001). The identification of nonlinear models for process control using tailored “plant-friendly” input sequences. J. of Process Control 11(2), 237– 250.
Prett, D. M. and C. E. Garc´ıa (1988). Fundamental Process Control. Butterworths. Stoneham, MA.
Rivera, D.E. (1992). Monitoring tools for PRBS testing in closed-loop system identification. In: AIChE Annual Meeting, Miami, November 1-6, 1992. Paper 131d. pp. 1–24.
Rivera, D.E. and K.S. Jun (2000). An integrated identification and control design methodology for multivariable process system applications. IEEE Control Systems Magazine 20, 25–37.
Rivera, D.E. and M. Morari (1987). ControlRelevant Model Reduction Problems for SISO H2, H∞, and μ Controller Synthesis. Int. J. Control 46, 505–527.
Rivera, D.E. and M.E. Flores (2004). Internal Model Control. In: 6.43. Control Systems, Robotics and Automation, Encyclopedia of Life Support Systems (EOLSS) (H. Unbehauen, Ed.). Eolss Publishers, http://www.eolss.net. Oxford, UK.
Rivera, D.E. and S.V. Gaikwad (1995). Systematic techniques for determining modelling requirements for SISO and MIMO feedback control. J. Proc. Cont. 5, 213–224.
Rivera, D.E. and S.V. Gaikwad (1996). Digital PID controller design via ARX estimation. Computers Chem. Eng. 20, 1317–1334.
Rivera, D.E., H. Lee, M.W. Braun and H.D. Mittelmann (2003). Plant-friendly system identification: a challenge for the process industries. In: 13th IFAC Symposium on System Identification (SYSID 2003). Rotterdam, Netherlands. pp. 917–922.
Rivera, D.E., M. Morari and S. Skogestad (1986). Internal Model Control 4. PID Controller Design. Ind. Eng. Chem. Process Des. Dev. 25, 252–265.
Sanathanan, C. K. and J. Koerner (1963). Transfer function synthesis as a ratio of two complex polynomials. IEEE Trans. on Automatic Control 9, 56–58.
Seborg, D. E., T. F. Edgar and D. A. Mellichamp (2004). Process Dynamics and Control. 2nd ed. Wiley. New York, NY.
Van den Hof, P. M. J., P. S. C. Heuberger and J. Bokor (1995). System Identification with Generalized Orthonormal Basis Functions. Automatica 31(12), 1821–1834.
Wahlberg, B. (1989). Model reductions of highorder estimated models: The asymptotic ML approach. Int. J. Control 49(1), 169–192.
Zhu, Y. (2001). Multivariable System Identification for Process Control. Pergamon. Amsterdam.



