Nonlinear predictive control of a polymerization reactor based on piecewise linear Wiener model

Shafiee, Ghobad; Arefi, Mohammad Mehdi; Jahed‐Motlagh, Mohammad Reza; Jalali, Ahvand

doi:10.1016/j.cej.2008.05.013

Cited by 68 publications

(28 citation statements)

References 18 publications

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“…It has been shown that system robustness can be decreased by the reduction of α and increment of the [16]. Expanding the summations and substituting the quadratic forms, the cost function in (9) can be rearranged in a matrix form as…”

Section: Model Predictive Controlmentioning

confidence: 99%

Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization

Abbaszadeh¹,

Solgi²

2014

JILSA

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In this work, a nonlinear model predictive controller is developed for a batch polymerization process. The physical model of the process is parameterized along a desired trajectory resulting in a trajectory linearized piecewise model (a multiple linear model bank) and the parameters are identified for an experimental polymerization reactor. Then, a multiple model adaptive predictive controller is designed for thermal trajectory tracking of the MMA polymerization. The input control signal to the process is constrained by the maximum thermal power provided by the heaters. The constrained optimization in the model predictive controller is solved via genetic algorithms to minimize a DMC cost function in each sampling interval.

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Section: Model Predictive Controlmentioning

confidence: 99%

Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization

Abbaszadeh¹,

Solgi²

2014

JILSA

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“…Also robust techniques have been utilized to reduce the effect of parameter uncertainties [24][25][26]. Moreover, input constraints and multivariable behavior of CSTRs, encourage the utilization of other advanced controllers (see, e.g., [27][28][29][30][31]). …”

Section: Introductionmentioning

confidence: 99%

Stabilization of a CSTR with two arbitrarily switching modes using modal state feedback linearization

Yazdi

Jahed‐Motlagh

2009

Chemical Engineering Journal

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174

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“…is class of models has been successfully used in practice including biological processes [4][5][6]; chemical processes [7][8][9]; electronic systems [10,11]; and others [12,13]. Motivation for block-oriented models includes the identification of systems, and many reports of control applications using these types of models can be found in the literature [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Unified Approach for the Identification of Wiener, Hammerstein, and Wiener–Hammerstein Models by Using WH-EA and Multistep Signals

et al. 2020

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Wiener, Hammerstein, and Wiener-Hammerstein structures are useful for modelling dynamic systems that exhibit a static type nonlinearity. Many methods to identify these systems can be found in the literature; however, choosing a method requires prior knowledge about the location of the static nonlinearity. In addition, existing methods are rigid and exclusive for a single structure.is paper presents a unified approach for the identification of Wiener, Hammerstein, and Wiener-Hammerstein models. is approach is based on the use of multistep excitation signals and WH-EA (an evolutionary algorithm for Wiener-Hammerstein system identification). e use of multistep signals will take advantage of certain properties of the algorithm, allowing it to be used as it is to identify the three types of structures without the need for the user to know a priori the process structure. In addition, since not all processes can be excited with Gaussian signals, the best linear approximation (BLA) will not be required. Performance of the proposed method is analysed using three numerical simulation examples and a real thermal process. Results show that the proposed approach is useful for identifying Wiener, Hammerstein, and Wiener-Hammerstein models, without requiring prior information on the type of structure to be identified.

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Nonlinear predictive control of a polymerization reactor based on piecewise linear Wiener model

Cited by 68 publications

References 18 publications

Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization

Constrained Nonlinear Model Predictive Control of a Polymerization Process via Evolutionary Optimization

Stabilization of a CSTR with two arbitrarily switching modes using modal state feedback linearization

A Unified Approach for the Identification of Wiener, Hammerstein, and Wiener–Hammerstein Models by Using WH-EA and Multistep Signals

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