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A new multivariable control concept for the falling film evaporator process. / Hofmann, Julian; Ponomarev, Anton; Hagenmeyer, Veit; Gröll, Lutz.

In: Journal of Process Control, Vol. 106, 01.10.2021, p. 72-83.

Research output: Contribution to journalArticlepeer-review

Harvard

Hofmann, J, Ponomarev, A, Hagenmeyer, V & Gröll, L 2021, 'A new multivariable control concept for the falling film evaporator process', Journal of Process Control, vol. 106, pp. 72-83. https://doi.org/10.1016/j.jprocont.2021.08.015

APA

Hofmann, J., Ponomarev, A., Hagenmeyer, V., & Gröll, L. (2021). A new multivariable control concept for the falling film evaporator process. Journal of Process Control, 106, 72-83. https://doi.org/10.1016/j.jprocont.2021.08.015

Vancouver

Author

Hofmann, Julian ; Ponomarev, Anton ; Hagenmeyer, Veit ; Gröll, Lutz. / A new multivariable control concept for the falling film evaporator process. In: Journal of Process Control. 2021 ; Vol. 106. pp. 72-83.

BibTeX

@article{deecf158c16f4eb39bc3b0adaefbc456,
title = "A new multivariable control concept for the falling film evaporator process",
abstract = "The paper presents a new multivariable control concept for falling film evaporators (FFEs). Our concept solves the major challenges encountered in modern FFE control: large transport delays, additional control of the output mass flow, coupling of controlled variables, and disturbances due to time-varying input dry matter content. The challenges are addressed together, for the first time, by the following control design. Based on a dynamic nonlinear input–output model, we consider a linearizing output transformation to enable application of classical linear control methods composed of feedforward design, disturbance rejection, and a decoupling network. Due to these features, we are able to design robust PID and PI controllers that substantially compensate plant-model mismatches. Connecting our concept to a digital twin of the plant yields good performance, which encourages future application of the design in the real-world process.",
keywords = "Digital twin, Falling film evaporator, Multivariable model-based control, Time delay, SCHEME, TRANSPORT, MODIFIED SMITH PREDICTOR, SYSTEMS, IDENTIFICATION, DELAY, FEEDBACK",
author = "Julian Hofmann and Anton Ponomarev and Veit Hagenmeyer and Lutz Gr{\"o}ll",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2021",
month = oct,
day = "1",
doi = "10.1016/j.jprocont.2021.08.015",
language = "English",
volume = "106",
pages = "72--83",
journal = "Journal of Process Control",
issn = "0959-1524",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A new multivariable control concept for the falling film evaporator process

AU - Hofmann, Julian

AU - Ponomarev, Anton

AU - Hagenmeyer, Veit

AU - Gröll, Lutz

N1 - Publisher Copyright: © 2021 Elsevier Ltd

PY - 2021/10/1

Y1 - 2021/10/1

N2 - The paper presents a new multivariable control concept for falling film evaporators (FFEs). Our concept solves the major challenges encountered in modern FFE control: large transport delays, additional control of the output mass flow, coupling of controlled variables, and disturbances due to time-varying input dry matter content. The challenges are addressed together, for the first time, by the following control design. Based on a dynamic nonlinear input–output model, we consider a linearizing output transformation to enable application of classical linear control methods composed of feedforward design, disturbance rejection, and a decoupling network. Due to these features, we are able to design robust PID and PI controllers that substantially compensate plant-model mismatches. Connecting our concept to a digital twin of the plant yields good performance, which encourages future application of the design in the real-world process.

AB - The paper presents a new multivariable control concept for falling film evaporators (FFEs). Our concept solves the major challenges encountered in modern FFE control: large transport delays, additional control of the output mass flow, coupling of controlled variables, and disturbances due to time-varying input dry matter content. The challenges are addressed together, for the first time, by the following control design. Based on a dynamic nonlinear input–output model, we consider a linearizing output transformation to enable application of classical linear control methods composed of feedforward design, disturbance rejection, and a decoupling network. Due to these features, we are able to design robust PID and PI controllers that substantially compensate plant-model mismatches. Connecting our concept to a digital twin of the plant yields good performance, which encourages future application of the design in the real-world process.

KW - Digital twin

KW - Falling film evaporator

KW - Multivariable model-based control

KW - Time delay

KW - SCHEME

KW - TRANSPORT

KW - MODIFIED SMITH PREDICTOR

KW - SYSTEMS

KW - IDENTIFICATION

KW - DELAY

KW - FEEDBACK

UR - http://www.scopus.com/inward/record.url?scp=85114710925&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/f6f3cb90-3852-3110-a755-4b845edf27da/

U2 - 10.1016/j.jprocont.2021.08.015

DO - 10.1016/j.jprocont.2021.08.015

M3 - Article

AN - SCOPUS:85114710925

VL - 106

SP - 72

EP - 83

JO - Journal of Process Control

JF - Journal of Process Control

SN - 0959-1524

ER -

ID: 86157996