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Pregled bibliografske jedinice broj: 1268749

Software-assisted determination of process dynamic model and PID tuning parameters for process control


Čelan, Antonija; Miccio, Michele; Ćosić, Marija; Kuzmanić, Nenad
Software-assisted determination of process dynamic model and PID tuning parameters for process control // Chemical engineering transactions (2023) (znanstveni, prihvaćen)


CROSBI ID: 1268749 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Software-assisted determination of process dynamic model and PID tuning parameters for process control

Autori
Čelan, Antonija ; Miccio, Michele ; Ćosić, Marija ; Kuzmanić, Nenad

Vrsta, podvrsta
Radovi u časopisima, znanstveni

Izvornik
Chemical engineering transactions (2023)

Status rada
Prihvaćen

Ključne riječi
simulation ; system identification ; PID tuning ; feedback control ; learning by doing

Sažetak
The feedback control of temperature in a simulated batch reactor was studied in a class of the master’s degree in Chemical Engineering for educational purposes. The process was simulated in real-time by means of the software Simcet developed by PiControl Solutions LLC where a step test was performed in open-loop. The dynamic response of the process output (temperature) was observed and transfer function parameters were visually estimated and discussed. In the second part of the work, the dynamic response was fitted by a First Order Plus Dead Time model in the software PITOPS, by using the System Identification module. Determined transfer function parameters were compared to the ones visually estimated. Finally, the second module available in PITOPS, PID/APC Optimization allowed for determination of PID tuning parameters for several different tuning criteria (e.g. IAE, RO). The dynamic response of the process upon a set-point change was simulated in closed-loop, i.e., with controller in automatic mode. Finally, outputs for all tuning criteria applied were compared and discussed in detail. The use of mentioned software as a teaching tool in Process Control course was found to be quite beneficial. Students were given an opportunity to gain basic but very practical skills which are essential for future process engineers. Also, the fact that these programs were used for optimization of processes in several large industrial plants in Croatia (Rijeka Refinery, Pliva, Cemex, Hospira/Pfizer, Xellia, etc.), made students involved in the exercises, but also more interested in the Process Control course itself.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA


Ustanove:
Kemijsko-tehnološki fakultet, Split

Profili:

Avatar Url Nenad Kuzmanić (autor)

Avatar Url Antonija Čelan (autor)

Avatar Url Marija Ćosić (autor)


Citiraj ovu publikaciju:

Čelan, Antonija; Miccio, Michele; Ćosić, Marija; Kuzmanić, Nenad
Software-assisted determination of process dynamic model and PID tuning parameters for process control // Chemical engineering transactions (2023) (znanstveni, prihvaćen)
Čelan, A., Miccio, M., Ćosić, M. & Kuzmanić, N. (2023) Software-assisted determination of process dynamic model and PID tuning parameters for process control. Prihvaćen za objavljivanje u Chemical engineering transactions. [Preprint].
@unknown{unknown, author = {\v{C}elan, Antonija and Miccio, Michele and \'{C}osi\'{c}, Marija and Kuzmani\'{c}, Nenad}, year = {2023}, keywords = {simulation, system identification, PID tuning, feedback control, learning by doing}, journal = {Chemical engineering transactions}, title = {Software-assisted determination of process dynamic model and PID tuning parameters for process control}, keyword = {simulation, system identification, PID tuning, feedback control, learning by doing} }
@unknown{unknown, author = {\v{C}elan, Antonija and Miccio, Michele and \'{C}osi\'{c}, Marija and Kuzmani\'{c}, Nenad}, year = {2023}, keywords = {simulation, system identification, PID tuning, feedback control, learning by doing}, journal = {Chemical engineering transactions}, title = {Software-assisted determination of process dynamic model and PID tuning parameters for process control}, keyword = {simulation, system identification, PID tuning, feedback control, learning by doing} }

Časopis indeksira:


  • Scopus





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