Nonlinear identification and control of a high-purity distillation column: a case study

Sriniwas, G. Ravi; Arkun, Yaman; Chien, I‐Lung; Ogunnaike, B. A.

doi:10.1016/0959-1524(95)97302-9

Cited by 72 publications

(41 citation statements)

References 9 publications

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“…The methanol-ethanol distillation column model developed by Weischedel and McAvoy [7] is commonly used as a benchmark problem for this type of application [17]. To address the demands of highly interactive systems, one approach is to modify the standard multisine signal to contain correlated harmonics with high levels of power, which improve the low gain-direction content in the data and promote better coverage of the output state-space.…”

Section: A Input Signal Design and Comparison To Minimum Crest Factomentioning

confidence: 99%

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Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

Lee

Rivera

Mittelmann

et al. 2007

2007 American Control Conference

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Abstract-The design of constrained, "plant-friendly" multisine input signals that optimize a geometric discrepancy criterion arising from Weyl's Theorem is examined in this paper. Such signals are meaningful for data-centric estimation and control methods, where uniform coverage of the output state-space contributes greatly to good performance. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal that achieves a desirable balance between high and low gain directions, an important consideration when identifying strongly interactive multivariable systems. The solution involves very little user intervention and has significant benefits compared to multisine signals that minimize crest factor. The usefulness of this problem formulation is shown by applying it to a case study involving composition control of a binary distillation column.

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Section: A Input Signal Design and Comparison To Minimum Crest Factomentioning

confidence: 99%

“…A polynomial Nonlinear AutoRegressive with eXternal (NARX) input model with structure as proposed in [17] …”

Section: A Input Signal Design and Comparison To Minimum Crest Factomentioning

confidence: 99%

Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

Lee

Rivera

Mittelmann

et al. 2007

2007 American Control Conference

View full text Add to dashboard Cite

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“…Concerning empirical modelling, the neural networks were validated in terms of the traditional methods (Pollard et al, 1992;Sriniwas et al, 1995) and in terms of their complex static and dynamic behaviour, using bifurcation and stability analysis. As observed through many examples (Vega et al, 2008) the use of traditional validation tests is not enough to guarantee the successful use of neural networks for monitoring and control purposes, because model and plant can present distinct behaviours.…”

Section: Identificationmentioning

confidence: 99%

Smart Monitoring and Decision Making for Regulating Annulus Bottom Hole Pressure While Drilling Oil Wells

Vega

Vieira

Fernandes

et al. 2016

Braz. J. Chem. Eng.

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-Real time measurements and development of sensor technology are research issues associated with robustness and safety during oil well drilling operations, making feasible the diagnosis of problems and the development of a regulatory strategy. The major objective of this paper is to use an experimental plant and also field data, collected from a basin operation, offshore Brazil, for implementing smart monitoring and decision making, in order to assure drilling inside operational window, despite the commonly observed disturbances that produce fluctuations in the well annulus bottom hole pressure. Using real time measurements, the performance of a continuous automated drilling unit is analyzed under a scenario of varying levels of rate of penetration; aiming pressure set point tracking (inside the operational drilling window) and also rejecting kick, a phenomenon that occurs when the annulus bottom hole pressure is inferior to the porous pressure, producing the migration of reservoir fluids into the annulus region. Finally, an empirical model was built, using real experimental data from offshore Brazil basins, enabling diagnosing and regulating a real drilling site by employing classic and advanced control strategies.

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“…Many control design techniques have been applied to the high-purity distillation columns (e.g. Georgiou et al, 1988;Sriniwas et al, 1995;Christen et al, 1997;Shin et al, 2000;Razzaghi & Shahraki, 2005Biswas et al, 2009). Some possible improvements for linear multivariable predictive control of high-purity distillation columns are proposed by Trentacapilli et al (1997) and a simple way of inserting a local model that contains part of the process nonlinearity into the controller is described also.…”

Section: Introductionmentioning

confidence: 99%

Robust Multivariable Control of Ill-Conditioned Plants – A Case Study for High-Purity Distillation

Razzaghi¹,

Shahraki²

2011

Challenges and Paradigms in Applied Robust Control

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The main objective of this book is to present important challenges and paradigms in the field of applied robust control design and implementation. Book contains a broad range of well worked out, recent application studies which include but are not limited to H-infinity, sliding mode, robust PID and fault tolerant based control systems. The contributions enrich the current state of the art, and encourage new applications of robust control techniques in various engineering and non-engineering systems.

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Nonlinear identification and control of a high-purity distillation column: a case study

Cited by 72 publications

References 9 publications

Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

Smart Monitoring and Decision Making for Regulating Annulus Bottom Hole Pressure While Drilling Oil Wells

Robust Multivariable Control of Ill-Conditioned Plants – A Case Study for High-Purity Distillation

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