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[Building an Unmanned Aerial Vehicle for Humanitarian Aid Delivery ]]>
<![CDATA[Atar Fuady Babgei]]>;
<![CDATA[Heri Suryoatmojo]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 10, No 1 (2020): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.55144
<![CDATA[When an emergency occurs, immediate responses are needed for the affected areas. Conventional means of transportation often face difficulties carrying supplies to the location in need, especially in severely damaged areas.In this project, a small semi-autonomous unmanned aerial vehicle (UAV) was designed and constructed to undertake a representative humanitarian aid mission. The system has a novel hex-rotor design with overlapping propellers. Half of the motors have been turned upside down with a slight overlap between each propeller, hence reducing the total dimension of the system without losing its efficiency. The system is also equipped with a new lightweight servo activated two ring release system, allowing it to carry and release two kilograms of payloads with only small physical force needed.Overall, the system is capable to operate automatically while performing a series of tasks such as navigate waypoints and deliver payloads before returning to base. the system created in this project could deliver two individual payloads of 1 kg each to the pre-destinated target almost autonomously. The system provided promising results that encourage the utilization of UAV for delivering Humanitarian Aid.]]>
<![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[A Robust Frequency Control Approach in PV-Diesel Hybrid Power System ]]>
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Adi Kurniawan]]>;
<![CDATA[Feby Agung Pamuji]]>;
<![CDATA[Nursalim ST MT]]>;
<![CDATA[IGP Suta Wijaya]]>;
<![CDATA[Herbert Innah]]>
<![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.y2014i1.208
<![CDATA[Hybrid power generation system such as photovoltaic (PV)-diesel is one of the solution to reduce operational cost of the conventional diesel generation system. However, fluctuation of PV power due to uncertainty in weather condition may generate an unstable frequency of system. Further, it may reduce the reliability of the power utility, especially when the penetration of PV power is large. Therefore, a frequency control approach that involving PV with battery supervised by neural network algorithm is proposed to generate a stable system frequency. This method can reduce the frequency deviation without smoothing PV output power. The PV panels can generate maximum power according to the weather condition and frequency deviation. The PV output power and battery output power is controlled by neural network algorithm control. The neural network algorithm control is considering frequency deviation, average insolation and change of insolation as input. The proposed method is compared with similar system but without the existence of battery as energy storage system. The simulation results show that the proposed method can generate small frequency deviation compared with system without battery.]]>
<![CDATA[Desain MPPT Berbasis Kontrol Logika Fuzzy Untuk Aplikasi Pesawat Terbang ]]>
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Fahad Al Hazmi]]>;
<![CDATA[D C Riawan]]>;
<![CDATA[Ronny Mardiyanto]]>
<![CDATA[ Approach : Jurnal Teknologi Penerbangan Vol. 1 No. 2 (2017): Oktober 2017 ]]>
Publisher : <![CDATA[Politeknik Penerbangan Surabaya ]]>
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<![CDATA[Panel surya merupakan media untuk mengkonversi energi matahari menjadi energi listrik. Selaindigunakan secara konvensional sebagai sumber energi listrik, panel surya dapat diaplikasikan sebagaisumber utama energi listrik pada pesawat terbang tanpa awak. Panel surya menghasilkan energi listrikyang berfluktuasi mengikuti besarnya iradiansi dan temperatur sekitar. Berdasarkan karakteristik panelsurya, jika dioperasikan pada keadaan normal maka daya yang dibangkitkan dari panel surya tidakakan maksimal. Supaya daya yang dibangkitkan dari panel surya maksimal, maka diperlukanMaximum Power Point Tracking (MPPT). Pada pesawat tanpa awak, iradiansi matahari nilainyaberubah dengan sangat cepat, sehingga MPPT konvensional kurang efisien karena memiliki responyang lembat serta memiliki osilasi pada saat berada pada kondisi daya maksimal. Pada penelitian iniakan dirancang dan diimplementasikan sistem MPPT dengan kontrol logika fuzzy. Kontrol logikafuzzy dapat mempercepat respon sistem terhadap perubahan beban, serta mengurangi osilasi yangterjadi pada daya maksimum. Konverter, sebagai aktuator dari pengkondisi tegangan akan dipilih yangmemiliki berat seringan mungkin sehingga tidak akan menambah beban kerja dari pesawat. Dari hasilpercobaan menunjukan bahwa MPPT berbasis logika Fuzzy mempunyai respon yang lebih cepatdibandingkan dengan metode hill climbing.]]>
<![CDATA[Desain dan Implementasi Konverter DC-DC Topologi SEPIC Termodifikasi dengan Gain Statis yang Tinggi untuk Aplikasi pada Photovoltaic ]]>
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Indra Dilianto]]>;
<![CDATA[Suwito Suwito]]>;
<![CDATA[Ronny Mardiyanto]]>;
<![CDATA[Eko Setijadi]]>
<![CDATA[ Approach : Jurnal Teknologi Penerbangan Vol. 2 No. 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Politeknik Penerbangan Surabaya ]]>
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<![CDATA[Dalam merancang sistem pembangkit photovoltaic terhubung jala-jala, diperlukan konverter DC-DC untuk meningkatkan tegangan keluaran photovoltaic. Dalam perancangan konverter DC-DC, biasanya digunakan konverter dengan gain statis yang tinggi dengan tujuan untuk meningkatkan tegangan keluaran photovoltaic dan memperoleh efisiensi konversi yang tinggi. Salah satu jenis konverter yang digunakan adalah konverter topologi SEPIC. Namun, konverter DC-DC konvensional seperti konverter topologi SEPIC memiliki gain statis dengan tegangan keluaran yang rendah. Konverter SEPIC konvensional hanya dapat meningkatkan tegangan keluaran sebesar 5 kali dari tegangan masukan ketika Duty Cycle bernilai 0.8182. Untuk memenuhi standard gain statis yang tinggi, maka diperlukan tegangan keluaran sebesar 10 kali dari tegangan masukan. Untuk mengatasi permasalahan tersebut, maka penulis mengusulkan menggunakan topologi konverter DC-DC SEPIC termodifikasi. Modifikasi pada konverter SEPIC konvensional dilakukan dengan menambahkan kapasitor dan dioda. Konverter DC-DC SEPIC termodifikasi dapat menaikkan tegangan keluaran hingga 10 kali dari tegangan masukan. Dengan diterapkannya topologi ini, maka diharapkan dapat diperoleh tegangan keluaran konverter yang tinggi untuk aplikasi pada photovoltaic.]]>
<![CDATA[Dynamic Economic Dispatch On Micro Grid Electrical Systems Using Quadratic Programming ]]>
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Fakhruddin Wirakusuma]]>;
<![CDATA[Rony Seto Wibowo]]>
<![CDATA[ JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 1 (2018): April ]]>
Publisher : <![CDATA[Department of Electrical Engineering ITS and FORTEI ]]>
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DOI: 10.12962/j25796216.v2.i1.39
<![CDATA[Currently the needs of electric power increased rapidly along with the development of technology. The increase in power requirements is contrary to the availability of sources of energy depletion of oil and coal. This problem affects the national electrical resistance. To meet the needs of large electric power with wide area coverage is required small scale distributed power generation. This distributed generation (DG) of renewable energy sources sought to minimize the use of energy resources such as oil and coal and connected to the micro grid and use the battery as a power balance. Because of there are many DGs and the use of batteries, therefore it is important to determine the optimal power generation of each plant as well as the use of battery based on the optimal capacity so that requirement of electric power can be met with minimal cost each time. This optimization is known as Dynamic Economic Dispatch. In this study, the methods of Quadratic Programming is required to solve the optimization problem.Keywords: micro grid, Dynamic Economic Dispatch, Quadratic Programming, Battery, Energy Storage]]>
<![CDATA[Non-Inverting Cascaded Bidirectional Buck-Boost DC-DC Converter with Average Current Mode Control for Lithium-Ion Battery Charger ]]>
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Indra Anugrah Pratama]]>;
<![CDATA[Soedibyo .]]>
<![CDATA[ JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October ]]>
Publisher : <![CDATA[Department of Electrical Engineering ITS and FORTEI ]]>
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DOI: 10.12962/jaree.v5i2.167
<![CDATA[In order to develop renewable energy, it also needs to enhance the developing of supporting elements. For example, lithium-ion batteries as a component of energy storage. Lithium-ion batteries (Li-ion) have been chosen as energy storage devices for portable equipment, unmanned Aerial Vehicle (UAV) and grid storage systems. But there is a problem such as the process of charging the battery for UAV. Conventional converters used in those chargers have disadvantages such as limited power, lower voltage gain and also high current stress. Therefore, such converters are not efficient to be used for charging the battery. This paper proposes a cascaded bidirectional buck-boost converter for charging the battery. This converter can be operated bidirectional and have better rated power and higher voltage gain. Also, this topology has the same polarity with the input. From the test results, the converter can work in either forward or backward power flow. This converter is working in both buck or boost mode and has an efficiency of 83% in buck mode and 81% for boost mode. The charging process is about 83 minutes until SOC approximately 90 – 95.Keywords: battery charger, cascaded bidirectional buck – boost converter, constant current, li-ion introduction.]]>
<![CDATA[Transformerless dc Converter for Distributed Solar Power Generation System ]]>
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Akbar Faiz]]>;
<![CDATA[Mochamad Ashari]]>;
<![CDATA[Ronny Mardiyanto]]>
<![CDATA[ JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017): April ]]>
Publisher : <![CDATA[Department of Electrical Engineering ITS and FORTEI ]]>
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DOI: 10.12962/j25796216.v1.i1.7
<![CDATA[There are two types of distributed solar power generation system stand-alone system and grid-connected system. In grid-connected system usually are equiped with additional transformer to transfer the energy from solar power to the grid. However, it has resulted in considerable cost in providing these systems. Therefore in this reserach develops boost transformerless inverter system. The proposed system consists of a boost converter and transformerless inverter. Boost converter is used to increse the dc voltage yield by photovoltaic (PV) and delivered to the grid by mean of transformerless inverter.In order to maximize the power from PV, the proposed system is also designed with Maximum Power Point Tracking (MPPT) by changing the value of modulation index in the transformerless inverters. From the simulation results show that the system can work effectively in a variety conditions such as light intensity changed and fluctuating in the grid voltage side. Keywords: Inverter Transformerless, Boost Converter, MPPT, Photovoltaic.]]>
<![CDATA[Optimal Design of Hydrogen Based Wind-Microhydro Using Genetic Algorithm ]]>
<![CDATA[Soedibyo Soedibyo]]>;
<![CDATA[Heri Suryoatmojo]]>;
<![CDATA[Imam Robandi]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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<![CDATA[The target of stand-alone hybrid power generation system was to supply the load demand with high reliability and economically as possible. To design these criteria the optimal design of the proposed configuration should be done by using intelligent optimization technique. This study utilized Genetic Algorithm method to determine the optimal capacities of hydrogen, wind turbines and micro hydro unit according to the minimum cost objective functions that relate to these two factors. In this study, the cost objective function included the annual capital cost, annual operation maintenance cost, annual replacement cost and annual customer damage cost. The proposed method had been tested in the hybrid power generation system located in Leuwijawa village in Central Java of Indonesia. Simulation results showed that the optimum configuration can be achieved using 19.85 ton of hydrogen tanks, 21 x 100 kW wind turbines and 610 kW of micro hydro unit respectively. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1326]]>
