Simultaneous Control Loop Performance Assessment and Process Identification Based on Fractional Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926652" target="_blank" >RIV/49777513:23520/15:43926652 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S2405896315011581" target="_blank" >http://www.sciencedirect.com/science/article/pii/S2405896315011581</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2015.09.077" target="_blank" >10.1016/j.ifacol.2015.09.077</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simultaneous Control Loop Performance Assessment and Process Identification Based on Fractional Models

Popis výsledku v původním jazyce

Control loop performance assessment procedures are established as key cornerstone of process optimization and monitoring. Unfortunately, many methods do not consider the maximum possible performance which can be achieved by the fixed structure controller installed in the loop (typically PID). In authors&apos; recent work such method was described. It was shown that - with respect to classical minimum variance method - the maximum performance is strongly influenced by the process normalized dead time. Consequently, the process model should be re-estimated during the plant operation. This paper describes technique which integrates continuous estimation of process model including normalized dead-time and control loop performance assessment. The process model is considered as fractional in order to fit well to distributed parameter systems appearing in chemical process control industries. All procedures are packed into advanced function blocks which are ready for real-time applications.

Název v anglickém jazyce

Simultaneous Control Loop Performance Assessment and Process Identification Based on Fractional Models

Popis výsledku anglicky

Control loop performance assessment procedures are established as key cornerstone of process optimization and monitoring. Unfortunately, many methods do not consider the maximum possible performance which can be achieved by the fixed structure controller installed in the loop (typically PID). In authors&apos; recent work such method was described. It was shown that - with respect to classical minimum variance method - the maximum performance is strongly influenced by the process normalized dead time. Consequently, the process model should be re-estimated during the plant operation. This paper describes technique which integrates continuous estimation of process model including normalized dead-time and control loop performance assessment. The process model is considered as fractional in order to fit well to distributed parameter systems appearing in chemical process control industries. All procedures are packed into advanced function blocks which are ready for real-time applications.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/TA02010152" target="_blank" >TA02010152: Nové metody pro monitorování, ohodnocování a optimalizaci kvality regulace a jejich implementace do řídicího systému ZAT Plant Suite</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IFAC Proceedings Volumes (IFAC-PapersOnline)

ISBN

—

ISSN

2405-8963

e-ISSN

—

Počet stran výsledku

6

Strana od-do

859-864

Název nakladatele

IFAC

Místo vydání

Neuveden

Místo konání akce

Whistler, Canada

Datum konání akce

7. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000375842300145