Optimization-based design of plant-friendly input signals for data-centric estimation and control

Daniel Rivera, Hyunjin Lee, Hans Mittelmann, Guatam Pendse

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The design of constrained, "plant-friendly" multisine input signals that optimize a geometric discrepancy criterion arising from Weyl's Theorem is examined. Such signals are meaningful for data-centric estimation methods, where uniform coverage of the output state-space is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The effectiveness of data resulting from a Weyl criterion-based signal for Model-on-Demand Model Predictive Control (a data-centric multivariable control algorithm) is demonstrated for the distillation column case study. The power of the proposed framework lies in its flexibility, allowing the user to incorporate both linear and nonlinear models for output prediction, time-domain constraints, and information and control-theoretic frequency domain requirements. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).

Original languageEnglish (US)
Title of host publicationAIChE Annual Meeting Conference Proceedings
PublisherAmerican Institute of Chemical Engineers
Volume2005
ISBN (Print)0816909962, 9780816909964
StatePublished - 2005
Event05AIChE: 2005 AIChE Annual Meeting and Fall Showcase - Cincinnati, OH, United States
Duration: Oct 30 2005Nov 4 2005

Other

Other05AIChE: 2005 AIChE Annual Meeting and Fall Showcase
CountryUnited States
CityCincinnati, OH
Period10/30/0511/4/05

Fingerprint

Distillation columns
Model predictive control

ASJC Scopus subject areas

  • Energy(all)

Cite this

Rivera, D., Lee, H., Mittelmann, H., & Pendse, G. (2005). Optimization-based design of plant-friendly input signals for data-centric estimation and control. In AIChE Annual Meeting Conference Proceedings (Vol. 2005). American Institute of Chemical Engineers.

Optimization-based design of plant-friendly input signals for data-centric estimation and control. / Rivera, Daniel; Lee, Hyunjin; Mittelmann, Hans; Pendse, Guatam.

AIChE Annual Meeting Conference Proceedings. Vol. 2005 American Institute of Chemical Engineers, 2005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rivera, D, Lee, H, Mittelmann, H & Pendse, G 2005, Optimization-based design of plant-friendly input signals for data-centric estimation and control. in AIChE Annual Meeting Conference Proceedings. vol. 2005, American Institute of Chemical Engineers, 05AIChE: 2005 AIChE Annual Meeting and Fall Showcase, Cincinnati, OH, United States, 10/30/05.
Rivera D, Lee H, Mittelmann H, Pendse G. Optimization-based design of plant-friendly input signals for data-centric estimation and control. In AIChE Annual Meeting Conference Proceedings. Vol. 2005. American Institute of Chemical Engineers. 2005
Rivera, Daniel ; Lee, Hyunjin ; Mittelmann, Hans ; Pendse, Guatam. / Optimization-based design of plant-friendly input signals for data-centric estimation and control. AIChE Annual Meeting Conference Proceedings. Vol. 2005 American Institute of Chemical Engineers, 2005.
@inproceedings{e1b989d11f1942a5b650225ffc6f7cf1,
title = "Optimization-based design of plant-friendly input signals for data-centric estimation and control",
abstract = "The design of constrained, {"}plant-friendly{"} multisine input signals that optimize a geometric discrepancy criterion arising from Weyl's Theorem is examined. Such signals are meaningful for data-centric estimation methods, where uniform coverage of the output state-space is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The effectiveness of data resulting from a Weyl criterion-based signal for Model-on-Demand Model Predictive Control (a data-centric multivariable control algorithm) is demonstrated for the distillation column case study. The power of the proposed framework lies in its flexibility, allowing the user to incorporate both linear and nonlinear models for output prediction, time-domain constraints, and information and control-theoretic frequency domain requirements. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).",
author = "Daniel Rivera and Hyunjin Lee and Hans Mittelmann and Guatam Pendse",
year = "2005",
language = "English (US)",
isbn = "0816909962",
volume = "2005",
booktitle = "AIChE Annual Meeting Conference Proceedings",
publisher = "American Institute of Chemical Engineers",

}

TY - GEN

T1 - Optimization-based design of plant-friendly input signals for data-centric estimation and control

AU - Rivera, Daniel

AU - Lee, Hyunjin

AU - Mittelmann, Hans

AU - Pendse, Guatam

PY - 2005

Y1 - 2005

N2 - The design of constrained, "plant-friendly" multisine input signals that optimize a geometric discrepancy criterion arising from Weyl's Theorem is examined. Such signals are meaningful for data-centric estimation methods, where uniform coverage of the output state-space is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The effectiveness of data resulting from a Weyl criterion-based signal for Model-on-Demand Model Predictive Control (a data-centric multivariable control algorithm) is demonstrated for the distillation column case study. The power of the proposed framework lies in its flexibility, allowing the user to incorporate both linear and nonlinear models for output prediction, time-domain constraints, and information and control-theoretic frequency domain requirements. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).

AB - The design of constrained, "plant-friendly" multisine input signals that optimize a geometric discrepancy criterion arising from Weyl's Theorem is examined. Such signals are meaningful for data-centric estimation methods, where uniform coverage of the output state-space is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The effectiveness of data resulting from a Weyl criterion-based signal for Model-on-Demand Model Predictive Control (a data-centric multivariable control algorithm) is demonstrated for the distillation column case study. The power of the proposed framework lies in its flexibility, allowing the user to incorporate both linear and nonlinear models for output prediction, time-domain constraints, and information and control-theoretic frequency domain requirements. This is an abstract of a paper presented at the AIChE Annual Meeting and Fall Showcase (Cincinnati, OH 10/30/2005-11/4/2005).

UR - http://www.scopus.com/inward/record.url?scp=33646726596&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33646726596&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33646726596

SN - 0816909962

SN - 9780816909964

VL - 2005

BT - AIChE Annual Meeting Conference Proceedings

PB - American Institute of Chemical Engineers

ER -