Performance of High-Gain Observer (HGO) For Level Estimation in Continuous Stirred Tank Reactor (CSTR)

Dian Mursyitah; Ahmad Faizal; Zulfatri Aini

doi:10.33019/jurnalecotipe.v11i2.4497

Performance of High-Gain Observer (HGO) For Level Estimation in Continuous Stirred Tank Reactor (CSTR)

Authors

Dian Mursyitah Department of Electrical Engineering, Universitas Islam Negeri Sultan Syarif Kasim Riau
Ahmad Faizal Department of Electrical Engineering, Universitas Islam Negeri Sultan Syarif Kasim Riau
Zulfatri Aini Department of Electrical Engineering, Universitas Islam Negeri Sultan Syarif Kasim Riau

DOI:

https://doi.org/10.33019/jurnalecotipe.v11i2.4497

Keywords:

CSTR; estimation; HGO; sensitivity; robustness

Abstract

This paper presents an estimation of level in CSTR system. Due to the non-linearity in the model of the CSTR system, our focus is on observers capable of handling this non-linearity. We proposed to use a High Gain Observer (HGO) for performing level estimation. The desired characteristics for estimation include minimal error, fast convergence time, and robustness in the presence of noisy measurements. A comprehensive analysis of the observers, including the evaluation of their effectiveness and robustness, is presented through simulation

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Published

08/01/2024

Issue

Vol. 11 No. 2 (2024): Jurnal Ecotipe, October 2024

Section

Articles

License

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The author can enter the writing separately, regulate the non-exculsive distribution of manuscripts that have been published in this journal into other versions (for example: sent to the author's institution respository, publication into books, etc.), by acknowledging that the manuscript was first published in the Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering);

How to Cite

[1]

D. Mursyitah, A. Faizal, and Z. Aini, “Performance of High-Gain Observer (HGO) For Level Estimation in Continuous Stirred Tank Reactor (CSTR)”, JurnalEcotipe, vol. 11, no. 2, pp. 117–124, Aug. 2024, doi: 10.33019/jurnalecotipe.v11i2.4497.