Claim Missing Document
Check
Articles

Found 14 Documents
Search

Fuzzy-PID controller for an energy efficient personal vehicle: Two-wheel electric skateboard Bambang Sumantri; Eko Henfri Binugroho; Ilham Mandala Putra; Rika Rokhana
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 6: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.79 KB) | DOI: 10.11591/ijece.v9i6.pp5312-5320

Abstract

The two-wheeled electric skateboard (TWS) is designed for a personal vehicle. A Fuzzy-PID control strategy is designed and implemented for controlling its motion. Basically, motions control of the TWS is performed by balancing the pitch position of the TWS. Performance of the designed controller is demonstrated experimentally. The Fuzzy algorithm updates the PID gains and therefore it can handle the changing of the TWS load. Contribution of Fuzzy-PID in reducing the electric energy consumption, which is an important issue in electrical system, is also evaluated. The Fuzzy-PID successes to reduce the electric energy consumption of the TWS compared to the conventional PID.
Local positioning system for autonomous vertical take-off and landing using ultra-wide band measurement ranging system Niam Tamami; Bambang Sumantri; Prima Kristalina
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 12, No 1 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2021.v12.18-27

Abstract

An autonomous vertical take-off and landing (VTOL) must be supported with an accurate positioning system, especially for autonomous take-off, landing, and other tasks in small area. This paper presents a novel method of small local outdoor positioning system for localizing the area of dropping and landing of autonomous VTOL by utilizing the low-cost precision ultra-wide band (UWB) ranging system. We compared symmetrical single sided-two way ranging (SSS-TWR), symmetrical double sided-two way ranging (SDS-TWR), and asymmetrical double sided-two way ranging (ADS-TWR) methods to get precision ranging measurement on UWB radio module. ADS-TWR was superior to others by resulting in minimum distance error. The ADS-TWR average error was 1.38 % (35.88 cm), SDS-TWR average error was 1.83 % (47.58 cm), and SSS-TWR average error was 2.73 % (70.98 cm). Furthermore, the trilateration method was utilized to obtain the local position of the autonomous VTOL. The trilateration method successfully implemented autonomous VTOL quadcopter positioning in a small local outdoor area (20 m x 30 m). Autonomous VTOL has been able to drop seven payloads in seven areas (2 m x 2 m) and landed in the home position (3 m x 3 m) successfully.
Prototipe Power Supply Gate driver untuk Multilevel Inverter dengan Menggunakan Flyback Converter Multi Output Novie Ayub Windarko; Akhmad Puryanto; Rachma Prilian Eviningsih; Moh. Zaenal Efendi; Eka Prasetyono; Bambang Sumantri
Techné : Jurnal Ilmiah Elektroteknika Vol. 19 No. 1 (2020)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1110.657 KB) | DOI: 10.31358/techne.v19i01.219

Abstract

Dengan perkembangan konverter elektronika daya, kebutuhan untuk memperkecil ukuran dan keandalan semakin meningkat. Dengan meningkatnya frekuensi switching pada konverter, maka dv/dt yang tinggi dapat menyebabkan kesalahan dalam turn-on ataupun turn-off switching devices. Masalah-masalah tersebut dapat diatasi dengan menerapkan tegangan bias negatif untuk melakukan turn-off switching devices. Makalah ini mengusulkan prototipe power supply gate driver yang dikhususkan untuk Multi Level Inverter (MLI). Sebuah prototipe power supply gate driver yang menggunakan satu unit konverter flyback dengan multi output untuk tegangan bias positif dan negatif, serta terisolasi galvanis sebanyak switching devices MLI. Dengan menggunakan topologi dasar flyback maka konverter ini memiliki isolasi galvanis melalui trafo frekuensi tinggi. Dari hasil eksperimen proses switching bisa berubah dari kondisi dari on menuju off dan dari off menuju on bisa berjalan secara sempurna.
Penerapan Machine Learning Pada Smart Socket Dengan Multi Sensor Untuk Adaptasi Pola Pemakaian Pengguna Muhammad Furqon; Agus Indra Gunawan; Bambang Sumantri; Ardik Wijayanto
SinarFe7 Vol. 1 No. 1 (2018): Sinarfe7-1A 2018
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.279 KB)

Abstract

Peralatan elektronik masa kini tidak hanya dituntut untuk mampu memenuhi kebutuhan manusia yang semakin kompleks dan mendetail, namun telah menghadapi tantangan baru, yaitu tuntutan kemampuan alat dalam beradaptasi dengan kebutuhan manusia itu sendiri. Oleh karena itu, pada penelitian ini akan dibuat sebuah prototype alat berupa stopkontak yang dilengkapi dengan multi sensor yang bertujuan untuk mendapatkan behavior dari user yang nantinya akan digunakan sebagai konfigurasi ON/OFF sistem pada stopkontak tersebut, yang kemudian disebut dengan smart socket. Terdapat beragam metode yang relevan telah diuji dan diaplikasikan pada penelitian-penelitian sebelumnya, salah satunya adalah stopkontak multi-fitur multi-sensor dengan kontroler kondisional namun, metode tersebut kurang efektif karena user diharuskan melakukan konfigurasi awal untuk menggunakan smart socket tersebut, dan sistemnya yang bersifat statis sehingga user diharuskan mengubah konfigurasi setiap kali kondisi yang diinginkan berubah. Adapun metode y ng digunakan pada penelitian ini adalah menggunakan KMeans clustering, dimana metode tersebut akan mengolah data respon user yang direkam oleh sistem menjadi sebuah konfigurasi ON/OFF otomatis yang dapat flexible berubah mengikuti behavior dari user tersebut. Hasil dari pengujian sistem terhadap dua subjek user didapatkan konfigurasi user1 (sistem akan menyala dari jam 12:21:37 hingga jam 17:53:18 dengan rata-rata konsumsi daya dalam satu hari adalah 165.61 Watt), user2 (sistem akan menyala dari jam 21:29:55 hingga jam 08:41:31, akan menyala lagi dari jam 17:40:13 hingga jam 18:14:51 dengan rata-rata konsumsi daya dalam satu hari adalah 543.14 Watt).
Hybrid photovoltaic maximum power point tracking of Seagull optimizer and modified perturb and observe for complex partial shading Novie Ayub Windarko; Evi Nafiatus Sholikhah; Muhammad Nizar Habibi; Eka Prasetyono; Bambang Sumantri; Moh. Zaenal Efendi; Hazlie Mokhlis
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4571-4585

Abstract

Due to natural randomness, partial shading conditions (PSCs) to photovoltaic (PV) power generation significantly drop the power generation. Metaheuristic based maximum power point tracking (MPPT) can handle PSCs by searching PV panels’ global maximum power point (GMPP). However, trapped at local maxima, sluggishness, continuous power oscillations around GMPP and inaccuracy are the main disadvantages of metaheuristic algorithm. Therefore, the development of algorithm under complex PSCs has been continuously attracting many researchers to yield more satisfying results. In this paper, several algorithms including conventional and metaheuristic are selected for candidate, such as perturb and observe (P&O), firefly (FF), differential evolution (DE), grey wolf optimizer (GWO) and Seagull optimizer (SO). From the preliminary study, SO has shown best performance among other candidates. Then, SO is improved for rapid global optimizer. Modified variable step sizes perturb and observe (MVSPO) is applied to enhance the accuracy tracking of SO. To evaluate the performances, high complexity multipeak partial shading is used to test the algorithms. Statistical results are also provided to analyze the trend of performances. The proposed method performances are shown better fast-tracking time and settling time, high accuracy, higher energy harvesting and low steady-state oscillations than other candidates.
Tunicate swarm algorithm based maximum power point tracking for photovoltaic system under non-uniform irradiation Evi Nafiatus Sholikhah; Novie Ayub Windarko; Bambang Sumantri
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4559-4570

Abstract

A new maximum power point tracking (MPPT) technique based on the bio-inspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed algorithm is implemented on the PV system with five PV modules arranged in series and integrated with DC-DC buck converter. Then, the PV system is tested in a simulation using PowerSim (PSIM) software. TSA-MPPT is tested under varying irradiation conditions both uniform irradiation and non-uniform irradiation. Furthermore, to evaluate the performance, TSA-MPPT is compared with perturb & observe-based MPPT (P&O-MPPT) and particle swarm optimization-based MPPT (PSO-MPPT). The TSA-MPPT has an accuracy of 99% and has a reasonably practical capability compared to the MPPT technique, which already existed before.
Pembuatan Sistem Mikroskop Digital Terintegrasi dengan Pengolahan Citra untuk Pengembangan Perangkat Pembelajaran IPA di SMPIT Al Uswah Surabaya Bima Sena Bayu Dewantara; Dadet Pramadihanto; Wahjoe Tjatur Sesulihatien; Amang Sudarsono; Hary Oktavianto; Bambang Sumantri; Idris Winarno
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 7 No 2 (2022): Agustus
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v7i2.2413

Abstract

Untuk mewujudkan pembelajaran yang baik dan tepat kepada para siswa-siswi peserta didik sehingga dapat meningkatkan pemahaman, pengalaman dan kemampuan siswa-siswi, maka pendidikan yang diterima tidak hanya diperlukan untuk melatih aspek kognitif saja. Namun juga diperlukan untuk membangun kemampuan afektif dan psikomotornya. Oleh karena itu, pembelajaran berbasis praktek di laboratorium perlu untuk diberikan. Kegiatan ini bertujuan untuk membuat sebuah peralatan bantu kepada para siswa-siswi SMPIT Al Uswah Surabaya yaitu perangkat mikroskop digital yang terintegrasi dengan embedded mini PC sehingga hasil observasi/pengamatan yang dilakukan siswa-siswi bisa lebih cepat, akurat dan efisien. Peralatan yang dikembangkan terdiri dari sebuah perangkat mikroskop digital dengan kemampuan pembesaran hingga 1600x, sebuah embedded mini PC, sebuah monitor dan satu set keyboard-mouse wireless terintegrasi. Disamping itu, kami juga mengembangkan aplikasi atau perangkat lunak untuk mendukung fungsi operasional peralatan dengan menggunakan pendekatan pengolahan citra. Diharapkan dengan adanya bantuan dari kegiatan ini, siswa dan siswi SMPIT Al Uswah Surabaya mampu meningkatkan kemampuan dan mendapatkan pengalaman berharga selama menjalani studi di SMPIT tersebut.
Maximum power point tracking based on improved spotted hyena optimizer for solar photovoltaic Muhammad Farizky Alvianandy; Novie Ayub Windarko; Bambang Sumantri
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp5775-5788

Abstract

The conventional maximum power point tracking (MPPT) method such as perturb and observe (P&O) under partial shading conditions with non-uniform irradiation, can get trapped on local maximum power point (LMPP) and cannot reach global maximum power point (GMPP). This study proposes a bio-inspired metaheuristic algorithm spotted hyena optimizer (SHO) and improved SHO as a new MPPT technique. The proposed SHO-MPPT and improved SHO-MPPT are used to extract GMPP from solar photovoltaic (PV) arrays operated under uniform irradiation and non-uniform irradiation. Simulation with Powersim (PSIM) and experimental with the emulated PV source were presented. Furthermore, to evaluate the performance of the proposed algorithm, SHO-MPPT is compared with P&O-MPPT and particle swarm optimization (PSO)-MPPT. The SHO-MPPT has an accuracy of 99% and has the good capability, but there are power fluctuations before reaching MPP. Therefore, improved SHO-MPPT was developed to get better results. The improved SHO-MPPT proved high accuracy of 99% and faster than SHO-MPPT and PSO-MPPT in tracking the maximum power point (MPP). Furthermore, there are minor power fluctuations.
Robot Keseimbangan Beroda Dua dengan Sistem Kontrol Keseimbangan dan Posisi Menggunakan Metode PID Bertingkat Niam Tamami; Ibrahim Muhammad Diin; Bambang Sumantri; Endra Pitowarno
Jurnal Rekayasa Elektrika Vol 14, No 3 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1181.794 KB) | DOI: 10.17529/jre.v14i3.11939

Abstract

The two-wheeled balancing robot is a robot that will maintain its balance to stay upright by using two wheels. This robot cannot be stable when the condition is upright and requires a control mechanism when moving. There are at least two control mechanisms in this robot, first is balance control, and the second is position control. The cascade PID method is proposed as a control mechanism, which consists of balance control as primary control and position control (distance and direction) as a secondary control. This method has been applied to robots. Based on the first, second, and third experiment, the best configuration of cascade PID control is PID for the balance control block, PD for distance control, and PD for direction control. By using cascade PID control, the two-wheeled balancing robot has been able to balance itself with oscillations ranging from ± 15.00 degrees when moving and it can move towards the ordered position with the error position from the target. Fourth experiment position error is (0.17, -0.26) and (0.45, -0.43) for the fifth experiment.
Sistem Keseimbangan Robot ERISA Pada Bidang Miring Menggunakan Kontrol PD dan Sensor Fusion Novian Fajar Satria; Ali Husein Alasiry; Bambang Sumantri; Risma Dian Alamri
Jurnal Rekayasa Elektrika Vol 17, No 3 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1034.933 KB) | DOI: 10.17529/jre.v17i3.18762

Abstract

The world of robotics is currently developing; many robots are created to help humans work in carrying out daily activities. Various types of robots have been created, one of which is a type of robot that resembles a human body (humanoid). Humanoid robots are developing in many countries, including Indonesia. In its development, the walking technique is a major factor in making humanoid robots. Humanoid robots have the ability to walk like humans by balancing their body positions while walking, so they don’t fall. In maintaining this balance, a tilt detection system for the robot’s position and a balancing system is needed when the robot is about to fall. So, to overcome this problem, implementation is carried out using the sensor fusion method at the output of the sensors that are used to minimize noise or interference with the sensor output value. The accuracy of the sensor output value on the position angle tilt detector can help the robot provide a balancing act. By implementing a PD control system and sensor fusion consisting of a Kalman filter and a complementary filter, the robot was successfully carried up and down the plane to a maximum slope of 12 °.