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MATRIX CONVERTER SEBAGAI PENGENDALI KECEPATAN MOTOR INDUKSI 3 FASE DENGAN ISVM JATI, MENTARI PUTRI; PURWANTO, ERA; SUMANTRI, BAMBANG; BASUKI, GAMAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 2 (2020): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektro
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i2.373

Abstract

ABSTRAKMakalah ini membahas matrix converter digunakan sebagai pengendali kecepatan motor induksi 3 fase pada sistem closed loop. Matrix converter merupakan konverter AC ? AC yang efektif dan efisien untuk menghasilkan tegangan dan frekuensi keluaran berubah ? ubah. Metode modulasi matrix converter Indirect Space Vector Modulation (ISVM) diterapkan pada sistem. Masalah pengendalian kecepatan motor induksi dapat diatasi dengan kendali Proporsional Integral (PI) yang diterapkan pada sistem untuk mencapai kecepatan referensi. Hasil simulasi Simulink software Matlab dengan variasi setpoint kecepatan dapat dicapai matrix converter sebagai drive motor induksi 3 fase dan menjaga harmonisa sistem closed loop pada rata ? rata 24.27%.Kata kunci: matrix converter, kendali kecepatan, motor induksi, ISVM ABSTRACTThis paper discusses the matrix converter used as a three phase induction motor speed controller in a closed loop system. Matrix converter is an effective and efficient AC - AC converter to produce variable output voltage and frequency. Matrix converter Indirect Space Vector Modulation (ISVM) is applied to the system. Induction motor speed control problems can be overcome by proportional integral control (PI) that applied to the system to achieve reference speed. Simulink simulation in Matlab results with speed setpoint variations can be achieved matrix converter as a three-phase induction motor drive and preserve the closed loop system harmonics at an average of 24.27%. Keywords: matrix converter, speed control, induction motor, ISVM
DESAIN DAN IMPLEMENTASI INTERLEAVED BOOST CONVERTER UNTUK POWER FACTOR CORRECTION MENGGUNAKAN PENGENDALI LOGIKA FUZZY Mentari Putri Jati; Era Purwanto; Bambang Sumantri; Sutedjo Sutedjo; Dimas Okky Anggriawan
JURNAL INTEGRASI Vol 12 No 1 (2020): Jurnal Integrasi - April 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (939.784 KB) | DOI: 10.30871/ji.v12i1.1430

Abstract

In recent years there is an increasing demand for closely regulated dc power supply. Most of the power electronic converters in these power supplies used full wave rectifier. Bulky filter capacitor in rectifier can effect non-sinusoidal input current waveform (distorted). The difference in voltage and current waveform affected the power factor system. Interleaved Boost Converter (IBC) as Power Factor Correction (PFC) with a fuzzy logic controller to be added in the system to achieved near to unity power factor. IBC operated in Discontinuous Conduction Mode (DCM). Power factor near to unity can be achieved while rectifier supplied resistive load, the waveform of load current through back to input source have the same form with the input voltage. Simulation and hardware implementation is used by varying loads. The experimental results with a variable load value of IBC as PFC can improve the power factor system from 0.67 to 0.93.
EFFICIENT MAXIMUM POWER POINT ESTIMATION MONITORING OF PHOTOVOLTAIC USING FEED FORWARD NEURAL NETWORK Hasnira Hasnira; Novie Ayub Windarko; Anang Tjahjono; Mochammad Ari Bagus Nugroho; Mentari Putri Jati
JURNAL INTEGRASI Vol 12 No 2 (2020): Jurnal Integrasi - Oktober 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v12i2.2161

Abstract

The development of the utilization of solar panels in the future will continue to increase. One characteristic form of solar panels is the I-V curve which can be used to analyze the amount of solar panel output power. By knowing the I-V curve, we can get Maximum Power Point Estimation (MPPE) value that can be supported by solar panels. Information about the estimated value of the maximum solar panel power is an important part in determining the loading capacity, while maintaining the life of the equipment used. Feed Forward Neural Network with Back Propagation Algorithm (FFBP) has proven to be able to provide MPPE value information on solar panel output. The input values ​​in ANN are the voltage and current of the solar panel, while the output of ANN is in the form of an estimated power value. MPPE simulation results obtained an average error of 0.04 points between actual power (MPP) and estimated power (MPPE).
A Power factor corrector using interleaved boost fuzzy-logic converter: design, analysis, and implementation Mentari Putri Jati
Journal of Engineering and Applied Technology Vol 2, No 1 (2021): (March)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jeatech.v2i1.39473

Abstract

The technology for developing power factor correction is increasingly being discussed because of the increasing number of nonlinear loads that exist. This is related to power quality which can affect load system performance because nonlinear loads cause low power factor and the appearance of harmonic currents. However, it takes a power factor corrector converter that has a simple construction and reliable performance. Interleaved Boost Converter is often applied as a power factor corrector converter because it has these advantages. Combined with a fuzzy controller it is a proposed system to achieve a near unity power factor. The discontinuous Conduction Mode (DCM) technique is used because it has an efficient inductor design. The results of the proposed system design were proven by simulation and hardware implementation which resulted in significant power factor improvements.
BLDC Motor Drives with A Programmable Simplified C-Block to Generate Accurate Six-Step PWM Based on STM32 Microcontroller Muhammad Rizani Rusli; Mentari Putri Jati; Mochamad Ari Bagus Nugroho; Ony Asrarul Qudsi; Indhana Sudiharto; Farid Dwi Murdianto; Endro Wahjono
Elinvo (Electronics, Informatics, and Vocational Education) Vol 7, No 2 (2022): November 2022
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.041 KB) | DOI: 10.21831/elinvo.v7i2.52992

Abstract

This paper presents a digital implementation of a brushless direct current motor (BLDCM) drive with a six-step pulse width modulation (PWM) using a programmable simplified C-block based on the STM32 microcontroller. The implementation is conducted through the PSIM simulation platform, which is commonly used for power electronics and motor control. This approach combines the benefits of using a programmable simplified C-block for precise and flexible programming with the PWM concepts of the STM32 microcontroller. The PWM method used on the BLDCM drive is the unipolar upper PWM technique (H~PWM_L~ON). The performance of the PWM implementation is analyzed in detail, including the accuracy of the PWM generation using a Fast Fourier Transform (FFT), the gating of the IGBTs in the three-phase inverter, and the effect of the duty cycle on the BLDCM's speed, phase voltage, and phase current. 
Implementation of Switching Algorithm for SVPWM Inverter in Induction Motor Drive System on Electric Vehicle Applications Bayu Praharsena; Mohammad Jauhari; Era Purwanto; Mentari Putri Jati; Angga Wahyu Aditya; Aries Alfian Prasetyo
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1414.456 KB) | DOI: 10.21831/elinvo.v6i2.43409

Abstract

Electric cars are the way to reduce global warming and fuel shortages. Performance variable speed drive is needed for various drive electric vehicle applications. Unfortunately, high performance is still being investigated with a variety of drive systems. This paper presents a design, analysis, and implementation of the SV-PWM inverter motor drive system. The SV-PWM algorithm in design using Matlab, to analyze the system include signal response, THD-V, THD-I. All algorithms are embedded in STM32F4, as the main controller. The hardware uses a 3-phase motor control Steval power module. Response speed and output signal inverters are shown in chart form for analysis
Optimasi Fuzzy Supervisory Control pada Performa Matrix Converter Drive 3x3 di Empat Kuadran Operasi PURWANTO, ERA; JATI, MENTARI PUTRI; SUMANTRI, BAMBANG; FERDIANSYAH, INDRA; BASUKI, GAMAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 1: Published January 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i1.31

Abstract

ABSTRAKTeknologi pengemudian motor dengan efisiensi tinggi serta untuk mencapai empat kuadran operasi menjadi perhatian pada bidang pengemudian elektrik. Matrix converter menjadi alternatif utama konverter drive motor karena keunggulan – keunggulannya. Walaupun matrix converter sebagai drive motor mempunyai kompleksitas tinggi, namun dengan dikombinasikan teknik Indirect Space Vector Modulation (ISVM) dapat menghasilkan kepresisian lebar pulsa modulasi (PWM). Untuk pengendali sistem, diterapkan Fuzzy Supervisory Control (FSC), yang merupakan kendali gabungan, agar kecepatan referensi bisa tercapai. FSC dibandingkan dengan kendali konvensional (PI control) untuk membuktikan keoptimalan performa sistem yang diusulkan. Parameter performa sistem dan Total Harmonic Distortion (THD) dianalisis lebih lanjut. Hasil simulasi menunjukkan bahwa sistem yang diusulkan dapat mencapai Error Steady state (ESS) 0% dan THD lebih kecil.Kata kunci: Matrix converter, ISVM, FSC, motor induksi. ABSTRACTMotor-driving technology with high efficiency and to achieve four quadrants of operation is a concern in the area of electric steering. Matrix converter is the main alternative for motor drive converters because of its advantages. Although the matrix converter as a motor drive has a high complexity, combined with the Indirect Space Vector Modulation (ISVM) technique can produce precision pulse width modulation (PWM). For the system controller, Fuzzy Supervisory Control (FSC) is applied, which is a combined control, so that the reference speed can be achieved. FSC is compared with conventional control (PI control) to prove the optimization of the proposed system performance. System performance parameters and Total Harmonic Distortion (THD) are further analyzed. Simulation results show that the proposed system can reach 0% Error Steady State (ESS) and smaller THD.Keywords: Matrix converter, ISVM, FSC, induction motor.
Matrix Converter sebagai Pengendali Kecepatan Motor Induksi 3 Fase dengan ISVM JATI, MENTARI PUTRI; PURWANTO, ERA; SUMANTRI, BAMBANG; BASUKI, GAMAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 2: Published May 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i2.373

Abstract

ABSTRAKMakalah ini membahas matrix converter digunakan sebagai pengendali kecepatan motor induksi 3 fase pada sistem closed loop. Matrix converter merupakan konverter AC – AC yang efektif dan efisien untuk menghasilkan tegangan dan frekuensi keluaran berubah – ubah. Metode modulasi matrix converter Indirect Space Vector Modulation (ISVM) diterapkan pada sistem. Masalah pengendalian kecepatan motor induksi dapat diatasi dengan kendali Proporsional Integral (PI) yang diterapkan pada sistem untuk mencapai kecepatan referensi. Hasil simulasi Simulink software Matlab dengan variasi setpoint kecepatan dapat dicapai matrix converter sebagai drive motor induksi 3 fase dan menjaga harmonisa sistem closed loop pada rata – rata 24.27%.Kata kunci: matrix converter, kendali kecepatan, motor induksi, ISVM ABSTRACTThis paper discusses the matrix converter used as a three phase induction motor speed controller in a closed loop system. Matrix converter is an effective and efficient AC - AC converter to produce variable output voltage and frequency. Matrix converter Indirect Space Vector Modulation (ISVM) is applied to the system. Induction motor speed control problems can be overcome by proportional integral control (PI) that applied to the system to achieve reference speed. Simulink simulation in Matlab results with speed setpoint variations can be achieved matrix converter as a three-phase induction motor drive and preserve the closed loop system harmonics at an average of 24.27%. Keywords: matrix converter, speed control, induction motor, ISVM
Aplikasi Direct Matrix Converter pada Pengendali Kecepatan Motor Induksi 3 Fase menggunakan Modulasi Venturini BASUKI, GAMAR; PURWANTO, ERA; OKTAVIANTO, HARY; JATI, MENTARI PUTRI; NUGROHO, MOCHAMAD ARI BAGUS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 3: Published September 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i3.518

Abstract

ABSTRAKMotor induksi yang paling banyak digunakan juga memiliki kekurangan seperti losses yang cukup tinggi, power factor correction, dan efisiensi yang rendah. Oleh karena itu, dibutuhkan pengendali motor induksi yang memiliki performa dan efisiensi yang tinggi. Salah satu jenis AC – AC konverter yang mempunyai efisiensi, lifetime, kekompakan dan faktor daya mendekati unity yang akan digunakan sebagai pengendali motor induksi adalah matrix converter. Metode venturini digunakan sebagai modulasi pada matrix converter. Untuk itu dalam penelitian ini dilakukan pembuatan simulasi menggunakan simulink MATLAB dan hardware matrix converter. Pengujian matrix converter menggunakan modulasi venturini sebagai pengendali motor induksi telah dilakukan dengan motor dapat berputar mencapai kecepatan nominal sebesar 1440 Rpm sesuai nameplate dan motor juga dapat berputar dibawah frekuensi nominal. Dengan penelitian ini, pengendalian motor induksi dapat lebih efisien dalam penggunaannya di berbagai bidang.Kata kunci: Matrix converter, metode venturini, motor induksi. ABSTRACTThe most widely used induction motors also have disadvantages such as fairly high losses, power factor correction, and low efficiency. From this disadvantages, we need an induction motor controller that has high performance and efficiency. One type of AC-AC converter that has efficiency, lifetime, compactness and power factor approach to unity that will be used as an induction motor controller is a matrix converter. The Venturini method is used as modulation in the matrix converter. For this reason, in this study, simulation was made using MATLAB simulink and hardware matrix converter. Matrix converter testing using venturini modulation as an induction motor controller has been done with the motor can be rotate reaching a nominal speed of 1440 Rpm according to nameplate and the motor can also rotate below the nominal frequency. It is expected that induction motor controller can be more efficient in their use in various fields.Keywords: Matrix converter, venturini method, induction motor
Benchmark Analysis of Sampling Methods for RRT Path Planning Pratama, Gilang Nugraha Putu; Dhewa, Oktaf Agni; Priambodo, Ardy Seto; Baktiar, Faris Yusuf; Prasetyo, Rizky Hidayat; Jati, Mentari Putri; Hidayatulloh, Indra
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.132

Abstract

Path planning is a crucial aspect of mobile robot navigation, ensuring that robots can safely travel from their initial position to the goal. In real-world applications, path planning is essential for autonomous vehicles, drones, warehouse robots, and rescue robots to navigate complex environments efficiently and safely. One effective method for path planning is the Rapidly-exploring Random Tree (RRT) algorithm, which is particularly practical in maze-like environments. The performance of RRT depends on the sampling methods used to explore the maze. Sampling methods are important because they determine how the algorithm explores the search space, affecting the efficiency and success of finding an optimal path. Poor sampling can lead to suboptimal or infeasible paths. In this study, we investigate different sampling strategies for RRT, specifically focusing on uniform sampling, Gaussian sampling, and the Motion Planning Network (MPNet) sampling. MPNet leverages a neural network trained on past environments, allowing it to predict promising regions of the search space quickly, unlike traditional methods like RRT that rely on random exploration without prior knowledge. This makes MPNet much faster and more efficient, especially in complex or high-dimensional spaces. Through a benchmarking analysis, we compare these methods in terms of their effectiveness in generating feasible paths. The results indicate that while all three methods are effective, MPNet sampling outperforms uniform and Gaussian sampling, particularly in terms of path length. The mean path length generated, based on a sample size of 30, is 13.115 meters for MPNet, which is shorter compared to uniform and Gaussian sampling, which are 18.27 meters and 18.088 meters, respectively. These findings highlight the potential to enhance path planning algorithms using learning-based sampling methods.