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Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model

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Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model. / Mahmoodi, Sanaz; Poshtan, Javad; Jahed-Motlagh, Mohammad Reza; Montazeri, Allahyar.

In: Chemical Engineering Journal, Vol. 146, No. 3, 15.02.2009, p. 328-337.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Mahmoodi, S, Poshtan, J, Jahed-Motlagh, MR & Montazeri, A 2009, 'Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model', Chemical Engineering Journal, vol. 146, no. 3, pp. 328-337. https://doi.org/10.1016/j.cej.2008.06.010

APA

Mahmoodi, S., Poshtan, J., Jahed-Motlagh, M. R., & Montazeri, A. (2009). Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model. Chemical Engineering Journal, 146(3), 328-337. https://doi.org/10.1016/j.cej.2008.06.010

Vancouver

Mahmoodi S, Poshtan J, Jahed-Motlagh MR, Montazeri A. Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model. Chemical Engineering Journal. 2009 Feb 15;146(3):328-337. https://doi.org/10.1016/j.cej.2008.06.010

Author

Mahmoodi, Sanaz ; Poshtan, Javad ; Jahed-Motlagh, Mohammad Reza ; Montazeri, Allahyar. / Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model. In: Chemical Engineering Journal. 2009 ; Vol. 146, No. 3. pp. 328-337.

Bibtex

@article{0c410063487f422db43efc23f5cdb71a,
title = "Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model",
abstract = "In this paper, Laguerre filters and simple polynomials are used respectively as linear and nonlinear parts of a Wiener structure. The obtained model structure is the so-called Wiener-Laguerre model. This model is used to evaluate identification of a pH neutralization process. Then the model is used in a nonlinear model predictive control framework based on the sequential quadratic programming (SQP) algorithm. Various orders of Laguerre filters and nonlinear polynomials are tested, and the results are compared for the validation of these models. Validation results for various orders suggest that in order to have a good trade-off between simplicity of the model and its corresponding fitness, a second order nonlinear polynomial along with two Laguerre filters may be selected. The fitness of this model according to variance account for (VAF) criterion is 92.32%. which is completely acceptable for nonlinear model predictive control applications. Then the identified Wiener-Laguerre model is used for nonlinear model predictive control and the results are compared with model predictive control in which just Wiener model was used for identification. It is shown that the use of the Wiener-Laguerre structure improves the quality of modeling together with the rate of convergence of SQP in a reasonable time. Furthermore, these results are also compared with the performance of a linear model predictive controller based on Laguerre model to provide a fair comparison between linear and nonlinear systems. ",
keywords = "Nonlinear model predictive control (NMPC), pH neutralization, SERIES, IDENTIFICATION, Wiener-Laguerre",
author = "Sanaz Mahmoodi and Javad Poshtan and Jahed-Motlagh, {Mohammad Reza} and Allahyar Montazeri",
year = "2009",
month = feb,
day = "15",
doi = "10.1016/j.cej.2008.06.010",
language = "English",
volume = "146",
pages = "328--337",
journal = "Chemical Engineering Journal",
issn = "1385-8947",
publisher = "Elsevier Science B.V.",
number = "3",

}

RIS

TY - JOUR

T1 - Nonlinear model predictive control of a pH neutralization process based on Wiener-Laguerre model

AU - Mahmoodi, Sanaz

AU - Poshtan, Javad

AU - Jahed-Motlagh, Mohammad Reza

AU - Montazeri, Allahyar

PY - 2009/2/15

Y1 - 2009/2/15

N2 - In this paper, Laguerre filters and simple polynomials are used respectively as linear and nonlinear parts of a Wiener structure. The obtained model structure is the so-called Wiener-Laguerre model. This model is used to evaluate identification of a pH neutralization process. Then the model is used in a nonlinear model predictive control framework based on the sequential quadratic programming (SQP) algorithm. Various orders of Laguerre filters and nonlinear polynomials are tested, and the results are compared for the validation of these models. Validation results for various orders suggest that in order to have a good trade-off between simplicity of the model and its corresponding fitness, a second order nonlinear polynomial along with two Laguerre filters may be selected. The fitness of this model according to variance account for (VAF) criterion is 92.32%. which is completely acceptable for nonlinear model predictive control applications. Then the identified Wiener-Laguerre model is used for nonlinear model predictive control and the results are compared with model predictive control in which just Wiener model was used for identification. It is shown that the use of the Wiener-Laguerre structure improves the quality of modeling together with the rate of convergence of SQP in a reasonable time. Furthermore, these results are also compared with the performance of a linear model predictive controller based on Laguerre model to provide a fair comparison between linear and nonlinear systems. 

AB - In this paper, Laguerre filters and simple polynomials are used respectively as linear and nonlinear parts of a Wiener structure. The obtained model structure is the so-called Wiener-Laguerre model. This model is used to evaluate identification of a pH neutralization process. Then the model is used in a nonlinear model predictive control framework based on the sequential quadratic programming (SQP) algorithm. Various orders of Laguerre filters and nonlinear polynomials are tested, and the results are compared for the validation of these models. Validation results for various orders suggest that in order to have a good trade-off between simplicity of the model and its corresponding fitness, a second order nonlinear polynomial along with two Laguerre filters may be selected. The fitness of this model according to variance account for (VAF) criterion is 92.32%. which is completely acceptable for nonlinear model predictive control applications. Then the identified Wiener-Laguerre model is used for nonlinear model predictive control and the results are compared with model predictive control in which just Wiener model was used for identification. It is shown that the use of the Wiener-Laguerre structure improves the quality of modeling together with the rate of convergence of SQP in a reasonable time. Furthermore, these results are also compared with the performance of a linear model predictive controller based on Laguerre model to provide a fair comparison between linear and nonlinear systems. 

KW - Nonlinear model predictive control (NMPC)

KW - pH neutralization

KW - SERIES

KW - IDENTIFICATION

KW - Wiener-Laguerre

U2 - 10.1016/j.cej.2008.06.010

DO - 10.1016/j.cej.2008.06.010

M3 - Journal article

VL - 146

SP - 328

EP - 337

JO - Chemical Engineering Journal

JF - Chemical Engineering Journal

SN - 1385-8947

IS - 3

ER -