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Comparative analysis of Cohen-Coon and Ziegler-Nichols tuning methods for three-phase induction motor with speed sensorless control Halim, Christian Vieri; Indriawati, Katherin
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp885-895

Abstract

The use of speed sensors in the speed controller of three-phase induction motors affects the reliability of the induction motors. In addition, the drive engine that is often used in industry is a three-phase induction motor. So, speed sensorless control is needed for induction motors to achieve the best performance. This study uses a discrete disturbance observer (D0) as feedback on the speed sensorless control. The controller used in this method is a discrete PI with the Cohen-Coon (CC) and Ziegler-Nichols (ZN) tuning method. The purpose of this study is to obtain a comparative analysis of the CC and ziegler nichols tuning method using a discrete PI on the speed sensorless control scheme with torque load variation. This study was carried out experimentally using an Alliance AY3A-90L4 induction motor. The results show that the CC tuning method is better under parameter efficiency and robustness against disturbance and ZN is better under parameter reliability.
THE APPLICATION OF PLASTIC FIBER OPTIC SENSOR AS BLOOD PRESSURE MONITORING Ama, Fadli; Hatta, Agus Muhamad; Indriawati, Katherin; Agustiyanto, Frans R; Usamah, Shofi Afghania; Putra, Alfian Pramudita; Perkasa, Sigit Dani
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.395

Abstract

Continuous blood pressure monitoring is essential for early hypertension prevention and cardiovascular disease diagnosis. Traditional methods are unsuitable for long-term use due to discomfort and limited portability. This study presents a tapered plastic fiber optical sensor (PFOS) as a sustainable, non-invasive solution for continuous monitoring. The PFOS system employs a light modulator based on mechanical waves to detect arterial pressure changes, utilizing an infrared light source (940 nm). The cuffless design includes four configurations: Bend, Bend with 1 Scratch, Bend with 3 Scratches, and Straight with 3 Scratches. The Bend with 1 Scratch configuration demonstrated superior performance, achieving 99.84% accuracy, a mean absolute error (MAE) of 0.1564, a linearity of 0.9999, and a sensitivity of 2.9997 Hz/dBm. Experimental validation involved testing radial and brachial arteries. Blood pressure estimates from Pulse Transit Time (PTT) were compared to a standard sphygmomanometer. On the radial artery, the Bend with 1 Scratch configuration achieved the best results, with the lowest MAE (1.72 for SBP, 2.39 for DBP) and highest accuracy (98.30% for SBP, 96.56% for DBP). The Straight with 3 Scratches configuration performed best on the brachial artery, with an MAE of 2.81 for SBP and 5.11 for DBP, and accuracies of 97.21% for SBP and 92.67% for DBP. The PFOS system offers a promising option for continuous monitoring in clinical and home settings.  
A comparative study of pi and eems on emu for hybrid fuelcell power systems Ekatiara, Cindy Reviko; Indriawati, Katherin
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 4 No. 1 (2025): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

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Abstract

This study investigates the Energy Management Unit (EMU) for a hybrid power system integrating PEMFC, batteries, supercapacitors, and Photovoltaic (PV) as renewable energy sources. The EMU is designed to support power supply, reduce the load on the PEMFC, and enhance operational efficiency and reliability. It intelligently manages power distribution by adjusting the use of energy sources based on system conditions, such as battery state of charge (SOC), load changes, or PV energy availability. Two types of management algorithms used in the EMU were tested: Proportional Integral (PI) and External Energy Management Strategy (EEMS). The comparison results show that EEMS outperforms PI in terms of stability and efficiency, with an average efficiency of 88.85% for EEMS compared to 88.77% for PI. Furthermore, the EEMS method demonstrates superior performance by maintaining minimal fluctuations ranging from 0.02 to 0.03, even under dynamic load conditions, while the PI method shows greater fluctuations, varying between 0.05 and 0.08.