DocumentCode
3592073
Title
Use runs tests for process control
Author
Hryniuk, Dzmitry ; Orobei, Igor ; Suhorukova, Irina
Author_Institution
Dept. of Autom. of Production Process & Electr. Eng., Belarusian State Technol. Univ., Minsk, Belarus
fYear
2015
Firstpage
1
Lastpage
4
Abstract
The article is devoted to adaptation criterion series for use in process control algorithms. Criterion series is proposed for detecting abrupt changes in trend information and diagnostics of device. The use of this criterion is justified on the programmable logic controllers of small and medium power. The air temperature control system which has a variety of sources of information is regarded as the object. The object has non-linear properties, which complicates the analysis. The standard algorithms filtration was implemented in the programmable logic controller. The data were recorded and processed with MatLAB. The estimation of noise that affects the sensors thermal object was carried out. The criterion settings should be selected taking into account the dynamics of the object and the sensor. Quality filtration and static errors affect the accuracy of the method. Speed of the modern programmable logic controllers allows using a small length of the series or multiple series.
Keywords
power system control; process control; programmable controllers; temperature control; temperature sensors; MatLAB; adaptation criterion series; air temperature control system; criterion series; data processing; data recording; noise estimation; nonlinear properties; process control algorithms; programmable logic controllers; quality filtration; sensor thermal object; small and medium power; standard algorithm filtration; static errors; Automation; Heating; MATLAB; Market research; Noise; Process control; Temperature measurement; controller; programmable logic controllers; static errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronic and Information Sciences (eStream), 2015 Open Conference of
Type
conf
DOI
10.1109/eStream.2015.7119485
Filename
7119485
Link To Document