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Flow control process identification using Matlab's System Identification Toolbox (CROSBI ID 312470)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Assani, Nur ; Matic, Petar ; Kezic, Danko Flow control process identification using Matlab's System Identification Toolbox 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 8 (2022), 1228-1232. doi: 10.1109/codit55151.2022.9803906

Podaci o odgovornosti

Assani, Nur ; Matic, Petar ; Kezic, Danko

engleski

Flow control process identification using Matlab's System Identification Toolbox

System identification plays an important role in system control and controller tuning. Data- driven identification provides a behavioristic model of an identified system or process that can be useful for remote controller tuning by simulating the response of an identified system or process. The identification can be performed using various methods, therefore, it is necessary to examine available methods for the case study. The aim of this paper is to describe and perform the identification procedure for the case study of flow control process using the Matlab’s System Identification Toolbox. As a result, a continuous-time transfer function model is formed, which is to be used for PID controller tuning and a digital twin development purposes in further work.

Process control ; Control systems ; Mathematical models ; Data models ; System identification ; Digital twins ; Information technology

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Podaci o izdanju

8

2022.

1228-1232

objavljeno

2576-3547

2576-3555

10.1109/codit55151.2022.9803906

Trošak objave rada u otvorenom pristupu

Povezanost rada

Elektrotehnika, Tehnologija prometa i transport, Temeljne tehničke znanosti

Poveznice