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All Journal Jurnal Pendidikan Vokasi Mechatronics, Electrical Power, and Vehicular Technology Jurnal Teknologi Elektro
Muhammad Rif’an
D3 Teknik Elektronika Universitas Negeri Jakarta Jakarta, Indonesia
Education Electrical & Electronics Engineering

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Sensorless-BLDC motor speed control with ensemble Kalman filter and neural network Muhammad Rif'an; Feri Yusivar; Benyamin Kusumoputro
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2019.v10.1-6

Abstract

The use of sensorless technology at BLDC is mainly to improve operational reliability and play a role for wider use of BLDC motors in the future. This research aims to predict load changes and to improve the accuracy of estimation results of sensorless-BLDC. In this paper, a new filtering algorithm is proposed for sensorless brushless DC motor based on Ensemble Kalman filter (EnKF) and neural network. The proposed EnKF algorithm is used to estimate speed and rotor position, while neural network is used to estimate the disturbance by simulation. The proposed algorithm requires only the terminal voltage and the current of three phases for estimated speed and disturbance. A model of non-linear systems is carried out for simulation. Variations in disturbances such as external mechanical loads are given for testing the performance of the proposed algorithm. The experimental results show that the proposed algorithm has sufficient control with error speed of 3 % in a disturbance of 50 % of the rated-torque. Simulation results show that the speed can be tracked and adjusted accordingly either by disturbances or the presence of disturbances.
Development of microprocessor learning media using zilog z-80 for vocational school students of electronic engineering expert program Nurul Fitri Fathia; Ivan Hanafi; Muhammad Rif’an
Jurnal Pendidikan Vokasi Vol 8, No 3 (2018): November
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1411.682 KB) | DOI: 10.21831/jpv.v8i3.20795

Abstract

This development research aims to develop microprocessor learning media using Zilog Z80. The Learning Media quality is based on the following aspects: (1) media feasibility according to subject matter experts and media experts; (2) effective based on students ability test by pre test and post-test. The developed cycles and procedures refer to the ADDIE model (analysis, design, development, implementation, and evaluation). This development research produces learning media as microprocessor kits training and e-Learning namely “µProsessor” as learning support. Data analysis techniques to test the effectiveness of learning media using Paired Samples T-Test and Using a Likert scale to test the feasibility of learning media. The research results show that the feasibility of learning media is enough with a high score of above 88% and Paired Samples Test results for media effectiveness show an increase in the value of significant microprocessor capabilities. Measuring the improvement of the ability of students' microprocessors using N-gain (normalized gain). The results of the calculation of N-gain in the large group is 0.72 in the high category. Interpretation of the results of the research can be concluded that effective learning media as a learning media for microprocessors.
SIMULASI GELOMBANG LAUT UNTUK PEMBANGKIT LISTRIK TENAGA GELOMBANG LAUT (PLTGL) Parjiman Parjiman; Massus Subekti; Daryanto Daryanto; Muhammad Rif’an
Jurnal Teknologi Elektro Vol 9, No 2 (2018)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2512.792 KB) | DOI: 10.22441/jte.v9i2.4068

Abstract

Potensi sumber daya maritim terbesar sebagai sumber energi terbarukan untuk menghasilkan energi listrik adalah gelombang laut. Indonesia dengan garis pantai terbesar kedua memiliki potensi yang sangat besar dengan kerapatan mencapai 20 kW/m2 gelombang laut. Namun demikian belum ada yang mampu menghasilkan sistem pembangkit listrik yang optimal dalam mengubah energi gelombang laut menjadi energi listrik. Hal ini terjadi karena sebagian besar peneliti membangun sistem pembangkit listrik tenaga gelombang laut secara langsung. Dalam makalah ini akan dibangun model simulasi gelombang laut yang menjadi komponen utama dalam pengembangan sistem pembangkit listrik tenaga gelombang laut. Dengan adanya model simulasi gelombang laut secara visual dan tervalidasi, pengembangan sistem pembangkit tenaga gelombang laut menjadi lebih mudah dan optimal.Kata Kunci— Energi Terbarukan, Gelombang Laut, Pembangkit Listrik, PLTGL.
Co-Authors Benyamin Kusumoputro Daryanto Daryanto Feri Yusivar Ivan Hanafi Massus Subekti Nurul Fitri Fathia Parjiman Parjiman