Robust and Asymmetric Assessment of the Benefits from Improved Control – Industrial Validation

Paweł Domański , S. Golonka , Piotr Marusak , Bartosz Moszowski

Abstract

Quality of the control system significantly contributes to the overall process technological and financial results. Plant throughput, environmental footprint and energy consumption push plants towards their technological limitations requiring better operation closer to constraints. Any improvement initiative should be predated with the estimation of the potential benefits associated with the rehabilitation project. The same applies to the control improvements. The assessment is always based on the performance indicators. Classical the same limit method is based on the Gaussian approach. However, investigation of industrial data frequently is not compliant with normal assumption about the properties of the variables. This paper extends the Gaussian approach with the use of robust (Huber) statistics and asymmetric Pearson type IV probability density function.
Author Paweł Domański (FEIT / AK)
Paweł Domański,,
- The Institute of Control and Computation Engineering
, S. Golonka - [Grupa Azoty S.A.]
S. Golonka,,
-
-
, Piotr Marusak (FEIT / AK)
Piotr Marusak,,
- The Institute of Control and Computation Engineering
, Bartosz Moszowski - [Grupa Azoty S.A.]
Bartosz Moszowski,,
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-
Pages815-820
Publication size in sheets0.5
Book Joe Qin S., Wayne Bequette B. (eds.): 10th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2018 Shenyang, China, 25–27 July 2018, IFAC-PapersOnLine, vol. 51, no. 18, 2018, IFAC, 904 p.
Keywords in Englishperformance assessmentrobust statisticsPearson distributionsame limit methodcontrol benefits
ASJC Classification2207 Control and Systems Engineering
DOIDOI:10.1016/j.ifacol.2018.09.260
URL https://www.sciencedirect.com/science/article/pii/S2405896318319372#!
Languageen angielski
File
Domanski i in ADCHEM2018_PDPM.pdf 2.33 MB
Score (nominal)5
Score sourcepublisherList
ScoreMinisterial score = 5.0, 20-10-2019, ChapterFromConference
Publication indicators WoS Citations = 0; Scopus Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.434
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