Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Jurnal Teknik ITS Bulletin of Electrical Engineering and Informatics JAREE (Journal on Advanced Research in Electrical Engineering)
Eka Iskandar
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Capacitor bank controller using artificial neural network with closed-loop system Widjonarko Widjonarko; Cries Avian; Andi Setiawan; Moch. Rusli; Eka Iskandar
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.054 KB) | DOI: 10.11591/eei.v9i4.2411

Abstract

The problem of power factor in the industry is critical. This is due to the issue of low power factor that can make the vulnerability of industrial equipment damaged. This problem has been resolved in various ways, one of which is the Automatic Power Factor Correction, with the most popular device called capacitor bank. There are also many methods used, but several methods require certain calculations so the system can adapt to the new plant. In this study, researchers proposed a capacitor bank control system that can adapt to plants with different capacitor values without using any calculations by using an Artificial Neural Network with a closed-loop controller. The system is simulated using Simulink Matlab to know the performance with two testing scenarios. The first is changing the value of the power factor on the system and changing the value of the capacitor power at each bank, the second comparing it with the conventional methods. The results show that the system has been able to adapt to different capacitor power values and has a better performance than the conventional method in power factor oscillation due to the extreme power factor interference
Disain dan Implementasi Kontrol PID Model Reference Adaptive Control untuk Automatic Safe Landing pada Pesawat UAV Quadcopter Teddy Sudewo; Eka Iskandar; Katjuk Astrowulan
Jurnal Teknik ITS Vol 1, No 1 (2012)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1271.588 KB) | DOI: 10.12962/j23373539.v1i1.262

Abstract

Pada fase penerbangan quadcopter, fase landing (pendaratan) merupakan fase paling kritis, dimana resiko terjadi kecelakaan paling besar. Permasalahan tersebut muncul karena adanya beberapa kendala, seperti kendala pada struktur rangka pesawat yang kecil, peningkatan beban pada sayap pesawat serta pengaruh angin sehingga menyebabkan pesawat tidak stabil. Pada penelitian tugas akhir ini, didesain suatu sistem kontrol pada UAV quadcopter menggunakan kontrol PID dengan Model Reference Adaptive Control (MRAC). Sistem pengendalian berbasis MRAC menawarkan beberapa kelebihan untuk mengatasi karakteristik plant non-linear salah satunya quadcopter. MRAC merupakan kontrol adaptif dimana performansi keluaran sistem (proses) akan mengikuti performansi keluaran model referensinya. Pada tugas akhir ini, model referensi sudah ditentukan diawal dan spesifikasinya tetap sehingga dapat langsung didisain mekanisme adaptasi dari MRAC. Parameter proses θ (a1,a2,b0,b1) diestimasi menggunakan metode Extended Least Square, parameter proses tersebut akan mentuning parameter kontroler (k0,k1,k2,k3) sehingga menghasilkan sinyal kontrol PID. Hasil pengujian menunjukkan bahwa ketika terjadi perubahan parameter pada plant, kontroler mampu memperbaiki respon agar tetap dapat mengikuti model referensinya dan dalam mengatasi gangguan metode adaptasi MRAC memiliki kemampuan yang baik dilihat dari waktu yang dibutuhkan yang relatif singkat.
Construction Design, Modelling, and Parameter Computation Outer Rotor Induction Motor Faizal Ramadhan Putra; Eka Iskandar; Rusdhianto Abdul Kadir; Ari Santoso; Yusuf Bilfaqih; Mohamad Abdul Hady
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.174

Abstract

In this paper, we will discuss the construction design of an outer rotor induction motor that can be applied to an electric car that is installed inside the car's wheels. In designing a motor, it is necessary to pay attention to the motor parameters, both mechanical parameters, and electrical parameters. These parameters will be calculated using software and designed in such a way as to get the parameters that are as effective and efficient as possible for the use of electric cars. After obtaining the best design, a comparison of the simulation results with mathematical modeling will be seen. In this research project, we can get a design with an initial torque of 64 Nm for a speed limit of 25 km/hour. Keywords: construction, induction, in-wheel, motor, outer rotor.
Tracking Control of Autonomous Car with Attention to Obstacle Using Model Predictive Control Ali Fatoni; Eka Iskandar; Yasmina Alya
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 2 (2022): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i2.321

Abstract

Previous research of MPC for path tracking and obstacle avoidance showed the car was able to evade obstacles while tracking the path but ineffectively and path tracking tests show an oscillating movement of the car. The research was done by varying cost function weights and the car was assumed to have a constant velocity. The best performance was obtained when the error weight is greater than the input weight. This research aims to use MPC for trajectory tracking and obstacle avoidance by using Linear Time Variant MPC (LTV MPC), where the trajectory tracking problem is defined by using a time-varying reference. MPC parameter is varied to find the best performing design. In the obstacle avoidance system, obstacle detection is done by measuring the distance between the instant car position and the obstacle position. While an obstacle is detected, a new lateral position constraint is calculated. Trajectory tracking tests are done using 2 types of tracks, sine wave, and lane changing. Obstacle avoidance tests are done using 1 obstacle and 2 obstacles. Results are evaluated using RMSE of car position, cost function, and the nearest distance between car and obstacle. Results show that MPC was able to evade obstacles while tracking the time-varying reference with 0.4 s delay. However, some variations were not able to meet the safe zone constraints for obstacle avoidance.
Co-Authors Ali Fatoni Andi Setiawan Ari Santoso Cries Avian Faizal Ramadhan Putra Hady, Mohamad Abdul Katjuk Astrowulan Moch. Rusli Rusdhianto Abdul Kadir Teddy Sudewo Widjonarko Yasmina Alya Yusuf Bilfaqih