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Software-assisted determination of process dynamic model and PID tuning parameters for process control (CROSBI ID 328333)

Prilog u časopisu | ostalo | međunarodna recenzija

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),

Podaci o odgovornosti

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

engleski

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

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.

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

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Podaci o izdanju

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2023.

prihvaćeno za objavljivanje

1974-9791

2283-9216

Povezanost rada

Kemijsko inženjerstvo

Indeksiranost