Robust tuning for machine-directional predictive control of MIMO paper-making processes

Ning He; Dawei Shi; Michael Forbes; Johan Backström; Tongwen Chen

doi:10.1016/j.conengprac.2016.06.008

Robust tuning for machine-directional predictive control of MIMO paper-making processes

Ning He, Dawei Shi^*, Michael Forbes, Johan Backström, Tongwen Chen

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

This paper solves the controller tuning problem of machine-directional predictive control for multiple-input–multiple-output (MIMO) paper-making processes represented as superposition of first-order-plus-dead-time (FOPDT) components with uncertain model parameters. A user-friendly multi-variable tuning problem is formulated based on user-specified time domain specifications and then simplified based on the structure of the closed-loop system. Based on the simplified tuning problem and a proposed performance evaluation technique, a fast multi-variable tuning technique is developed by ignoring the constraints of the MPC. In addition, a technique to predict the computation time of the tuning algorithm is proposed. The efficiency of the proposed method is verified through Honeywell real time simulator platform with a MIMO paper-making process obtained from real data from an industrial site.

Original language	English
Pages (from-to)	1-12
Number of pages	12
Journal	Control Engineering Practice
Volume	55
DOIs	https://doi.org/10.1016/j.conengprac.2016.06.008
Publication status	Published - 1 Oct 2016

Keywords

Controller tuning
MIMO systems
Model predictive control
Paper machines
Parametric uncertainty
Time-domain specifications

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10.1016/j.conengprac.2016.06.008

Cite this

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title = "Robust tuning for machine-directional predictive control of MIMO paper-making processes",

abstract = "This paper solves the controller tuning problem of machine-directional predictive control for multiple-input–multiple-output (MIMO) paper-making processes represented as superposition of first-order-plus-dead-time (FOPDT) components with uncertain model parameters. A user-friendly multi-variable tuning problem is formulated based on user-specified time domain specifications and then simplified based on the structure of the closed-loop system. Based on the simplified tuning problem and a proposed performance evaluation technique, a fast multi-variable tuning technique is developed by ignoring the constraints of the MPC. In addition, a technique to predict the computation time of the tuning algorithm is proposed. The efficiency of the proposed method is verified through Honeywell real time simulator platform with a MIMO paper-making process obtained from real data from an industrial site.",

keywords = "Controller tuning, MIMO systems, Model predictive control, Paper machines, Parametric uncertainty, Time-domain specifications",

author = "Ning He and Dawei Shi and Michael Forbes and Johan Backstr{\"o}m and Tongwen Chen",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",

year = "2016",

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doi = "10.1016/j.conengprac.2016.06.008",

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T1 - Robust tuning for machine-directional predictive control of MIMO paper-making processes

AU - He, Ning

AU - Shi, Dawei

AU - Forbes, Michael

AU - Backström, Johan

AU - Chen, Tongwen

PY - 2016/10/1

Y1 - 2016/10/1

N2 - This paper solves the controller tuning problem of machine-directional predictive control for multiple-input–multiple-output (MIMO) paper-making processes represented as superposition of first-order-plus-dead-time (FOPDT) components with uncertain model parameters. A user-friendly multi-variable tuning problem is formulated based on user-specified time domain specifications and then simplified based on the structure of the closed-loop system. Based on the simplified tuning problem and a proposed performance evaluation technique, a fast multi-variable tuning technique is developed by ignoring the constraints of the MPC. In addition, a technique to predict the computation time of the tuning algorithm is proposed. The efficiency of the proposed method is verified through Honeywell real time simulator platform with a MIMO paper-making process obtained from real data from an industrial site.

AB - This paper solves the controller tuning problem of machine-directional predictive control for multiple-input–multiple-output (MIMO) paper-making processes represented as superposition of first-order-plus-dead-time (FOPDT) components with uncertain model parameters. A user-friendly multi-variable tuning problem is formulated based on user-specified time domain specifications and then simplified based on the structure of the closed-loop system. Based on the simplified tuning problem and a proposed performance evaluation technique, a fast multi-variable tuning technique is developed by ignoring the constraints of the MPC. In addition, a technique to predict the computation time of the tuning algorithm is proposed. The efficiency of the proposed method is verified through Honeywell real time simulator platform with a MIMO paper-making process obtained from real data from an industrial site.

KW - Controller tuning

KW - MIMO systems

KW - Model predictive control

KW - Paper machines

KW - Parametric uncertainty

KW - Time-domain specifications

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U2 - 10.1016/j.conengprac.2016.06.008

DO - 10.1016/j.conengprac.2016.06.008

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VL - 55

SP - 1

EP - 12

JO - Control Engineering Practice

JF - Control Engineering Practice

ER -

Robust tuning for machine-directional predictive control of MIMO paper-making processes

Abstract

Keywords

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