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All Journal Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Proceeding Applied Business and Engineering Conference
syahrizal
Politeknik Caltex Riau
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Teknik Listrik PERANCANGAN DAN PEMBUATAN MODUL BELAJAR RANGKAIAN MOTOR DAHLANDER 2 KECEPATAN BERBASIS PLC Sugadul; syahrizal
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Abstract

Dahlander motor is a 3-phase induction motor which has two speeds. The difference in speed on the Dahlander motor is obtained by the principle of changing the number of poles on the stator of the motor. By changing the number of poles on the Dahlander motor, it will change the speed of the motor. The purpose of this project development is to facilitate and help Caltex Riau Polytechnic students, especially students of the Electrical Engineering Study Program, this project was built using a Programmable Logic Controller or PLC so that the Dahlander motor control system can be done automatically. The PLC that will be used is the Schneider brand, type M221. To make PLC M221 program using Somachine Basic software. The working principle of this project is a dahlander motor control system, the control system is based on Supervisory Control And Data Acquisition (SCADA) using a PLC. The display of this control system is made using Wonderware InTouch software. With this project, it is hoped that it can help Caltex Riau Polytechnic students, especially for students of the Electrical Engineering Study Program. Keywords: Dahlander Motor, PLC Schneider M221, Somachine Basic, Wonderware InTouch, Electrical Engineering Study Program.
A Pendekatan Extended Kalman Filter untuk Estimasi Keadaan Dinamis pada Generator Sinkron dengan Model Kompleks Nabila Aulia Ramadhani; Arif Gunawan; Syahrizal; Hendri Novia Syamsir; Muzni Sahar
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 3 (2025): Jurnal Elkolind Vol 12 No 3 (September 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i3.8782

Abstract

State information of synchronous generators plays a crucial role in monitoring, control, and fault detection within power systems, yet direct measurement often remains limited. This study proposes a dynamic state estimation method based on the sub-transient model of a synchronous generator combined with the Extended Kalman Filter algorithm. The approach enables accurate state estimation using only terminal measurements, making it suitable for real-time monitoring applications. The algorithm operates through prediction and correction stages that iteratively update the estimated states. Simulation results demonstrate that the proposed method achieves low mean square error values across various operating conditions and disturbance scenarios. The unstable fault case yields the smallest error of 4.41×10⁻⁹, while the combined process and measurement noise scenario results in the largest error of 1.19×10⁻¹. These findings confirm that the proposed approach provides accurate and reliable state estimation for synchronous generator sub-transient models and has strong potential to enhance power system stability and reliability.
Co-Authors Arif Gunawan Hendri Novia Syamsir Muzni Sahar Nabila Aulia Ramadhani Sugadul