| Autor: |
Nur Assani, Petar Matic, Danko Kezic |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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