Methodology for Detecting Model-Plant Mismatches Affecting Model Predictive Control Performance

被引：33

作者：

Botelho, Viviane ^{[1
]}

Trierweiler, Jorge Otavio ^{[1
]}

Farenzena, Marcelo ^{[1
]}

Duraiski, Ricardo ^{[2
]}

机构：

[1] Univ Fed Rio Grande do Sul, Dept Chem Engn, Grp Intensificat Modeling Simulat Control & Opt P, BR-90040040 Porto Alegre, RS, Brazil

[2] Trisolut Engn Solut Ltd, BR-90010080 Porto Alegre, RS, Brazil

来源：

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH | 2015年 / 54卷 / 48期

关键词：

D O I：

10.1021/acs.iecr.5b01967

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The model quality for a model predictive control (MPG) is critical for the control loop performance. Thus, assessing the effect of model plant mismatch (MPM) is fundamental for performance assessment and monitoring the MPG. This paper proposes a method for evaluating model quality based on the investigation of closed-loop data and the nominal output sensitivity function, which facilitates the assessment procedure for the actual closed-loop performances. The effectiveness of the proposed method is illustrated by a multivariable case study, considering linear and nonlinear plants.

引用

页码：12072 / 12085

页数：14

共 50 条

[41] CHLAMYDOMONAS - AN INCREASINGLY POWERFUL MODEL-PLANT CELL SYSTEM [J].

WEEKS, DP .

PLANT CELL, 1992, 4 (08) :871-878

[42] A EUROPEAN BRIDGE PROJECT TO TACKLE A MODEL-PLANT GENOME [J].

MAGNIEN, E ;

BEVAN, M ;

PLANQUE, K .

TRENDS IN BIOTECHNOLOGY, 1992, 10 (1-2) :12-15

[43] Study of the Performance of a MPC Control [Model Predictive Control] Compared with a PID Control on a Temperature Plant [J].

Hernandez-Arroyo, Emil ;

Luis Diaz-Rodriguez, Jorge ;

Pinzon-Ardila, Omar .

REVISTA FACULTAD DE INGENIERIA, UNIVERSIDAD PEDAGOGICA Y TECNOLOGICA DE COLOMBIA, 2014, 23 (37) :45-54

[44] Detection and diagnosis of model-plant mismatch in MIMO systems using plant-model ratio [J].

Yerramilli, Suraj ;

Tangirala, Arun K. .

IFAC PAPERSONLINE, 2016, 49 (01) :266-271

[45] Model-Plant Mismatch Detection with Support Vector Machines [J].

Lu, Qiugang ;

Gopaluni, R. Bhushan ;

Forbes, Michael G. ;

Loewen, Philip D. ;

Backstrom, Johan U. ;

Dumont, Guy A. .

IFAC PAPERSONLINE, 2017, 50 (01) :7993-7998

[46] Tracking performance of model predictive control [J].

Falugi, P. ;

Mayne, D. Q. .

2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, :2631-2636

[47] Performance of Model Predictive Control of POMDPs [J].

Sehr, Martin A. ;

Bitmead, Robert R. .

2018 EUROPEAN CONTROL CONFERENCE (ECC), 2018, :1373-1378

[48] Internal model control of switched reluctance motor with torque observer for plant-model mismatches [J].

Shang, Wanfeng ;

Ma, Hongwei ;

Wang, Chuanwei .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2013, 227 (I4) :403-412

[49] Volterra Model Predictive Control of a Lyophilization plant [J].

Todorov, Yancho V. ;

Tsvetkov, Tsvetan D. .

2008 4TH INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, :806-811

[50] A COLLABORATIVE EFFORT TO MODEL-PLANT RESPONSE TO ACIDIC RAIN [J].

JACOBSON, J ;

KUJA, A ;

SHRINER, D ;

PERRIGAN, S ;

IRVING, P ;

LEE, J ;

TROIANO, J ;

CULLINAN, V .

JAPCA-THE INTERNATIONAL JOURNAL OF AIR POLLUTION CONTROL AND HAZARDOUS WASTE MANAGEMENT, 1988, 38 (06) :777-783

← 1 2 3 4 5 →