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Title:
SAMONASTAVLJIVI REGULATORJI PID V PROCESNI INDUSTRIJI
Authors:
ID
Globevnik, Andrej
(Author)
ID
Muškinja, Nenad
(Mentor)
More about this mentor...
Files:
MAG_Globevnik_Andrej_2014.pdf
(3,20 MB)
MD5: D76BD466D8760FE965A67707C2973C0D
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Magistrsko delo opisuje različne metode samodejnega nastavljanja parametrov regulatorja PID, ki jih v svojih izdelkih uporabljajo proizvajalci komponent za avtomatizacijo procesov. Opisane so teoretične osnove nekaterih metod in postopkov, kot tudi praktični primeri uporabe opisanih algoritmov za izvedbo samodejne nastavitve regulatorja. Na različnih tipih reguliranih procesov je preverjena ustreznost delovanja najpogosteje uporabljane metode za samonastavitev. V večini obravnavanih primerov je izvedena primerjava delovanja regulacijske zanke z regulatorjem PID s parametri pridobljenimi iz ročnega izračuna parametrov in s parametri pridobljenimi z izbrano metodo samodejne nastavitve. Prikazana je tudi uporaba komercialnega izdelka na primeru vodenja modela laboratorijskega sistema za regulacijo pretoka zraka.
Keywords:
regulator PID
,
samonastavljivi algoritmi
,
simulacija procesov
Place of publishing:
Maribor
Publisher:
[A. Globevnik]
Year of publishing:
2014
PID:
20.500.12556/DKUM-43630
UDC:
681.51.017(043.2)
COBISS.SI-ID:
17723158
NUK URN:
URN:SI:UM:DK:XCXYDHTA
Publication date in DKUM:
18.02.2014
Views:
1933
Downloads:
309
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
SELF-TUNING PID CONTROLLERS IN PROCESS INDUSTRY
Abstract:
This master's work describes different self-tuning methods of PID controllers that are used in products of manufacturers of equipment for process automation. Theoretical basis of some methods are given and some practical implementations of described self-tuning algorithms are shown. An applicability of some most frequently used self- tuning techniques is tested on different types of controlled processes. In most discussed cases, the comparison of a control loop performance between a manually tuned and self-tuned PID controller is done. Finally, the usage of commercial product is shown in case of controlling of the model of the laboratory system for air flow control.
Keywords:
PID controller
,
self-tuning algorithms
,
process simulation
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