Articles
<![CDATA[Desain dan Analisis Variabel Air Gap pada Motor Axial Flux Brushless DC Berbasis 3D Finite Element Method Untuk Aplikasi Kendaraan Listrik ]]>
<![CDATA[Achmad Abdul Ghoni]]>;
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ Jurnal Teknik ITS Vol 4, No 2 (2015) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v4i2.9689
<![CDATA[Seiring berjalannya waktu dibutuhkan pengembangan teknologi pada motor penggerak pada kendaraan yang beredar dipasaran. Karena sumber energi fosil merupakan energi yang tidak dapat diperbarui, maka pengembangan kendaraan dengan listrik sebagai sumber energi adalah solusi untuk penghematan energi dimasa depan. Salah satu jenis motor yang tepat untuk digunakan sebagai penggerak kendaraan akan dibahas pada tugas akhir ini, yaitu motor axial flux brushless DC. Pada tugas akhir ini dilakukan pembuatan desain dan analisis simulasi variabel air gap pada motor axial flux brushless DC dengan rating daya output 12 kW, tegangan DC input 400 V, frekuensi 200 Hz, dan kecepatan 2388 rpm. Varasi variabel air gap dilakukan dengan cara membuat jarak air gap pada jari-jari dalam lebih lebar dibandingkan jari-jari luar. Variasi variabel air gap yang diberikan menghasilkan perubahan nilai pada beberapa parameter kelistrikan motor. Dari simulasi yang didapatkan variasi variabel air gap terbaik pada 1,5 mm dengan kompensasi penambahan ketebalan magnet permanen sebesar 5 mm. Hasil dari variabel air gap pada motor axial flux brushless DC adalah rating daya output yang meningkat menjadi 14,5 kW dengan efisiensi 78,8 persen dan core loss sebesar 356,2 W.]]>
<![CDATA[Distribution Network Efficiency Improvement Based on Fuzzy Multi-objective Method ]]>
<![CDATA[Ramadoni Syahputra]]>;
<![CDATA[Imam Robandi]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2014i1.422
<![CDATA[This paper presents a reconfiguration methodology based on a fuzzy multi-objective approach for achieving the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations in order to improve the distribution system efficiency. Multi-objective function are considered for load balancing among the feeders, minimization of the real power loss, and deviation of bus voltage, while subject to a radial network structure in which all loads must be energized. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of the research is that the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generation. The implementation of the fuzzy multi-objective for distribution reconfiguration on a 77 bus distribution network with distributed generation is described. The simulation results show that a 1.80% of electric power distribution network efficiency improvement is achieved by the method]]>
<![CDATA[Design and Implementation of Axial Flux Induction Motor Single Stator - Single Rotor for Electric Vehicle Application ]]>
<![CDATA[Mochamad Ashari]]>;
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Dedet Candra Riawan]]>;
<![CDATA[Ronny Mardiyanto]]>;
<![CDATA[D Fahmi]]>;
<![CDATA[S Hidayat]]>;
<![CDATA[K B Adam]]>
<![CDATA[ IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2014i1.250
<![CDATA[Induction motor is suitable for the prime mover of the electric vehicle since the design the electric vehicle required extra slim and compact design. Therefore, this research proposes an axial flux induction motor consists of thinstator and rotor. This research will explain about the mechanical, electrical design and implementation of the axial fluxinduction motor that consists of single stator and single rotor. Basically, the design of this machine is similar to conventionalelectric motor. The differences are on the direction of the flux and its construction. The proposed motor has 500 W inputpower, low carbon material of core and the input voltage for this motor is 100 V. Material of the motor core is made fromsteel sheet st.37. The length of axial motor is 66 mm and diameter is 200 mm. From experimental results with the inputvoltage of 15 V, the rotor is able to rotate until 1366 RPM. In order to analysis the performance of the motor, simulationmodel based experimental data of the motor is required. The curve characteristic of the motor shows that the maximumtorque of the motor is 0.79 Nm.]]>
<![CDATA[Design and Implementation of Photovoltaic Single Stage Inverter Connected to Grid ]]>
<![CDATA[Bayu Prasetyo]]>;
<![CDATA[Mochamad Ashari]]>;
<![CDATA[Dedet Candra Riawan]]>
<![CDATA[ IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2014i1.413
<![CDATA[Photovoltaic system that connected to grid is a system which applied for an area that can be reach by transmission line. This system as a support for conventional generating system. If there is a power from PV system, then power demand supplied from photovoltaic generating system. Otherwise, power demand supplied from conventional generating system. As a support conventional generating system, there is many methods to convert photo energy into AC system that connected to grid. One of conventional methods as a two stage inverter, this methods need two process to convert photovoltaic into AC system. First stage, conversion photovoltaic power to DC system. In this stage PV processed by buck boost converter. Second stage, that DC power from first stage changed into AC power system. This two stage process has low efficiency, so we try to make the process simply and more efficiency. New method called single stage inverter can be applied. With this methods, conversion DC power system from PV can be done by single stage process. From this single process, we expext that more efficiency can be achieved.]]>
<![CDATA[Advanced DVR with Zero-Sequence Voltage Component and Voltage Harmonic Elimination for Three-Phase Three-Wire Distribution Systems ]]>
<![CDATA[Margo P]]>;
<![CDATA[Mauridhi Heri Purnomo]]>;
<![CDATA[Mochamad Ashari]]>;
<![CDATA[Zaenal P]]>;
<![CDATA[Takashi Hiyama]]>
<![CDATA[ IPTEK The Journal for Technology and Science Vol 20, No 4 (2009) ]]>
Publisher : <![CDATA[IPTEK, LPPM, Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j20882033.v20i4.21
<![CDATA[Dynamic Voltage Restorer (DVR) is a power electronics device to protect sensitive load when voltage sag occurs. Commonly, sensitive loads are electronic-based devices which generate harmonics. The magnitude and phase of compensated voltage in DVR depend on grounding system and type of fault. If the system is floating, the zero sequence components do not appear on the load side. Meanwhile, in a neutral grounded system, voltage sag is extremely affected by zero sequence components. A blocking transformer is commonly installed in series with DVR to reduce the effect of zero sequence components. This paper proposes a new DVR control scheme that is capable of eliminating the blocking transformer and reducing harmonic distortion. The system uses fuzzy polar controller to replace the conventional PI or FL controller that is commonly used. By taking into account the zero sequence components in the controller design, the effects of zero sequence components can be compensated. Simulated results show the effectiveness of the proposed DVR controller]]>
<![CDATA[Converter Ac-to-Ac With Additional Free- Wheeling Switches for Improving Power Factor and Reducing Harmonic Distortion ]]>
<![CDATA[Mochamad Ashari1]]>
<![CDATA[ IPTEK The Journal for Technology and Science Vol 19, No 2 (2008) ]]>
Publisher : <![CDATA[IPTEK, LPPM, Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j20882033.v19i2.153
<![CDATA[This paper presents development of single phase AC-to-AC converter with additional free-wheeling switches for improving the power factor and reducing harmonic distortion. The proposed system uses 2 switching types: the main switch and additional switch. The main switch is for controling the amplitude of the output voltage, while the additional switch is for releasing energy from inductive loads (free-wheeling switch). The main swicth is controlled by pulse width modulation (PWM), and the additional switch is modulated using the line frequency, 50 Hz. An AC-to-AC converter was simulated and built for laboratory test purposes. A conventional system, using thyristor and called Phase Control, was simulated for the system comparison. Results from simulation and laboratory tests show that the proposed system works properly. Using the same loads, the conventional system presents power factor as 0,34–0,71 and the voltage THD as 62.1%. The proposed system provides an improved power factor at nearly unity, and presents the total harmonic distortion of the voltage as 2.45%.]]>
<![CDATA[Simulasi Multi Input DC-DC Konverter dan MPPT Perturb and Observe (P&O) pada Sistem Pembangkit Listrik Tenaga Surya ]]>
<![CDATA[Alamsyah Achmad]]>;
<![CDATA[Yanwar M.S Yanwar M.S]]>;
<![CDATA[Soedibyo Soedibyo]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ SENTIA 2015 Vol 7, No 1 (2015) ]]>
Publisher : <![CDATA[SENTIA 2015 ]]>
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<![CDATA[Perubahan cuaca lokal sering terjadi sehingga tingkat kehandalan sistem photovoltaic (PV) semakin berkurang. Sistem PV group skala besar akan terjadi drop tegangan dan daya saat salah satu PV tertutup mendung sehingga sulit untuk memperoleh daya maksimal pada PV. Dalam mengatasi masalah ini maka PV skala besar akan lebih efektif jika disusun dalam grup-grup kecil untuk antisipasi perubahan cuaca lokal. Untuk mengatur aliran daya maka digunakan sebuah Multi Input Converter (MIC) pada sistem PV untuk mengatasi permasalahan tersebut. Oleh karena itu, dalam penelitian ini akan didesain sebuah Multi input converter yang terdiri dari empat set parallel dc-dc boost converter untuk menghasilkan tegangan keluaran. Perturb and Observe (P&O) algorithm digunakan untuk mengatur switching pada MIC sehingga memperoleh MPP (Maximum Power Point) dari masig-masing blok PV. Hasil dari desain ini diperoleh perbedaan yang signifikan pada mode shading 2 di mana Multi Input Converter (MIC) diperoleh daya output 480W sedangkan Single Input Converter (SIC) diperoleh daya output 350W. Berdasarkan hasil yang diperoleh maka efisiensi dari PV dapat ditingkatkan.]]>
<![CDATA[Simulasi dan Pemodelan MPPT – Konverter Cuk Menggunakan Adaptive Neuro Fuzzy Inference System untuk Aplikasi Fotovoltaik ]]>
<![CDATA[Abil Huda]]>;
<![CDATA[Mochamad Ashari]]>;
<![CDATA[Soedibyo Soedibyo]]>
<![CDATA[ SENTIA 2015 Vol 7, No 1 (2015) ]]>
Publisher : <![CDATA[SENTIA 2015 ]]>
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<![CDATA[Keterbatasan jumlah bahan bakar fosil seperti minyak bumi dan batu bara mendorong berkembangnya energi terbarukan sebagai sumber alternatif pembangkit listrik. Salah satu sumber energi terbarukan yang semakin banyak dipakai sebagai pembangkit energi listrik adalah photovoltaic (PV). Untuk mendapatkan performans idaya maksimal PV,dirancang metode kontrol maximum power point tracking (MPPT). Penelitian tentang MPPT untuk aplikasi cuk converter pada sistem PV dilakukan dengan berbagai metode. Penelitian ini menggunakan Adaptive Neuro Fuzzy Inference System (ANFIS) sebagai MPPT untuk menjejak titik daya maksimum. Hasil simulasi menunjukkan bahwa ANFIS 0.001% dengan kecepatan respon yang baik.]]>
<![CDATA[Simulasi Double Buck Boost Converter DC-DC Bidirectional Menggunakan PID Controller ]]>
<![CDATA[Hermansyah Hermansyah]]>;
<![CDATA[Soedibyo Soedibyo]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ SENTIA 2015 Vol 7, No 1 (2015) ]]>
Publisher : <![CDATA[SENTIA 2015 ]]>
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<![CDATA[Pada paper ini akan dipaparkan sebuah rancangan DoubleBoost dan Double Buck Converter DC-DC Bidirectional yang mempunyai kemampuan menggandakan tegangan dua kali berturut turut dan dari arah sebaliknya mampu menurunkan tegangan dua kali berturut turut dimana tegangan pada sisi output dapat dipertahankan pada nilai tertentu walaupun tegangan baterai pada sisi input mengalami perubahan.Sistem kontrol yang digunakan adalah PID controller (Proportional, Integrator, Diverative) yang berfungsi mempertahankan tegangan pada sisi output.Penelitian ini dibagi menjadi dua tahap yaitu tahap double boost dan double buck. Hasil simulasi menunjukkan bahwa sistem kendali yang diajukan mampu mempertahankan tegangan keluaran dengan sangat baik dan konsisten. Variasi perubahan yang dilakukan meliputi: pada mode double boost, tegangan output dipertahankan pada kisaran 99.9 sampai 100 volt DC dengan perubahan tegangan input yang turun berturut-turut 24 sampai 16 Volt DC. Sedangkan untuk mode double buck, tegangan output dipertahankan pada kisaran 2,9 sampai 3 volt DC dengan perubahan tegangan input yang mengalami penurunan berturut-turut 100 sampai 60 volt DC.]]>
<![CDATA[Predictive Duty Cycle of Maximum Power Point Tracking Based on Artificial Neural Network and Bootstrap Method for Hybrid Photovoltaic/ Wind Turbine System Considering Limitation Voltage of Grid ]]>
<![CDATA[Feby Agung Pamuji]]>;
<![CDATA[Nurvita Arumsari]]>;
<![CDATA[Mochamad Ashari]]>;
<![CDATA[Hery Suryoatmojo]]>;
<![CDATA[Soedibyo Soedibyo]]>
<![CDATA[ JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020): October ]]>
Publisher : <![CDATA[Department of Electrical Engineering ITS and FORTEI ]]>
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DOI: 10.12962/j25796216.v4.i2.119
<![CDATA[In this paper, we propose a new control-based the neural network and bootstrap method to get the predictive duty cycle for the maximum power point of hybrid Photovoltaic (PV) and Wind Turbine generator system (WTG) connected to 380 V grid. The neural network is designed to be controller by learning the data control of multi-input DC/ DC converter. The artificial neural network (ANN) needs many data for training then the ANN can give the predictive duty cycle to multi input DC/ DC converter. To get much data, we can use the bootstrap method to generate data from the real data. From Photovoltaic characteristic, we can get 344 real data after the data are made by bootstrap method we can get 8000 data. The 8000 data of PV can be used for training artificial neural network (ANN) of PV system. From wind turbine characteristic we can get 348 real data after the data are made by bootstrap method we can get 6000 data. The 6000 data of WT can be used for training artificial neural network of WT system. This new control has two responsibilities, are to shift the voltage of PV and WTG to optimum condition and to maintain the stability of grid system. From the simulation results those can be seen that the power of hybrid PV / WTG system using MPPT controller is in maximum power and has constant voltage and constant frequency of grid system.Keywords: bootstrap, maximum power tracking, neural network, stability.]]>
