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ALGORITHM DEVELOPMENT FOR BREAK-EVEN ANALYSIS OF UNMANNED AERIAL VEHICLE Nasution, Muhammad Ridlo Erdata; Pramana, Dhaesa
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 11, No 2 (2019): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5804.94 KB) | DOI: 10.28989/angkasa.v11i2.457

Abstract

Break-Even Analysis is an important step to be considered in the design process of a product. In order to facilitate this cost analysis in the framework of unmanned aerial vehicle design, a numerical algorithm is proposed and implemented on an in-house software. The developed algorithm adopts the cost components of Modified DAPCA IV Cost Model. It aims to calculate the number of units to achieve Break-Even Point and its corresponding unit price, as well as the obtained profit margin. Three example cases are employed in the assessment of the outcomes of the proposed algorithm, whereby reasonable results and good agreements with theoretical trends are concluded.
Penentuan Orientasi dan Translasi Gerakan UAV menggunakan Data Fusion berbasis Kalman Filter Freddy Kurniawan; Muhammad Ridlo Erdata Nasution; Okto Dinaryanto; Lasmadi Lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 3, No 2 (2021): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v3i2.890

Abstract

Navigation system is essential in estimating the orientation and translation motion of UAV. The system can utilize data from several sensors and devices, e.g. MIMU and GPS. The orientation of UAV can be precisely calculated by means of data from accelerometer and magnetometer when both sensors are in static state. Meanwhile, under dynamic conditions, the orientation can be more precisely predicted through the use of gyroscope sensor data. In order to attain a robust navigation system, a data fusion based on Kalman filter is built to estimate the orientation from the accelerometer, gyroscope, and magnetometer sensors. Moreover, for sake of achieving high accuracy, the filter will further correct the orientation by giving a higher weight to the data from accelerometer and magnetometer sensors when the UAV is in static condition. In the case of its position, the UAV position will be estimated by performing data fusion of MIMU and GPS data. Based on the experiments, it could be showed that data fusion based on Kalman filter provided more accurate results of orientation and position of UAV. The result of orientation based on gyroscope sensor data has an average error of 18.12°, while those obtained by accelerometer and magnetometer sensors data is 1.3°. Furthermore, by using the data fusion based on Kalman filter, the error of orientation predicted by combining data from accelerometer, magnetometer, and gyroscope will decrease to 0.87°.
A Novel Boost-Buck Converter Architecture for Improving Transient Response and Output-Voltage Ripple Freddy Kurniawan; Lasmadi Lasmadi; Okto Dinaryanto; Bambang Sudibya; Mohammad Ridlo Erdata Nasution
Journal of ICT Research and Applications Vol. 14 No. 2 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.2.4

Abstract

Buck-boost converters are widely used in the development of DC-DC converters. Several techniques and algorithms have been introduced to improve the transient response of buck-boost converters. However, due to the opposite trends of the output current change and the output voltage change, undershoot or overshoot in the output voltage still seems to be inevitable. In order to overcome this problem, a novel boost-buck converter architecture is proposed to build a fast transient response DC-DC converter. The converter consists of a cascaded configuration of the boost and buck stages. The boost stage converts the input voltage to the shared capacitor voltage and the buck stage supplies energy to the load by converting the shared capacitor voltage to the output voltage. By harnessing the energy stored in the shared capacitor, the transient response of the boost buck converter can be improved to 2 µs in a step-up load current change of 1 A with an output-voltage ripple of 15 mV.
ALGORITHM DEVELOPMENT FOR BREAK-EVEN ANALYSIS OF UNMANNED AERIAL VEHICLE Muhammad Ridlo Erdata Nasution; Dhaesa Pramana
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 11, No 2 (2019): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5804.94 KB) | DOI: 10.28989/angkasa.v11i2.457

Abstract

Break-Even Analysis is an important step to be considered in the design process of a product. In order to facilitate this cost analysis in the framework of unmanned aerial vehicle design, a numerical algorithm is proposed and implemented on an in-house software. The developed algorithm adopts the cost components of Modified DAPCA IV Cost Model. It aims to calculate the number of units to achieve Break-Even Point and its corresponding unit price, as well as the obtained profit margin. Three example cases are employed in the assessment of the outcomes of the proposed algorithm, whereby reasonable results and good agreements with theoretical trends are concluded.
PENGEMBANGAN AWAL ALGORITMA PROGRAM ANALISIS PERFORMA LANDASAN PACU TERHADAP BERAT TAKE-OFF PESAWAT Gladis Tiara Andan Dewi; Muhammad Ridlo Erdata Nasution; Gunawan Gunawan
Vortex Vol 3, No 2 (2022)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.394 KB) | DOI: 10.28989/vortex.v3i2.1241

Abstract

Pengembangan algoritma suatu program analisis performa landasan pacu terhadap berat take-off pesawat dilakukan untuk memfasilitasi analisis pada bandar udara secara umum. Dalam hal ini, metode ACN-PCN dan ARFL digunakan pada algoritma yang dibuat. Algoritma kemudian diimplementasikan pada kode program yang ditulis dengan GNU Octave dan dicoba untuk dijalankan dengan menggunakan data bandar udara Depati Amir serta tiga jenis pesawat berbeda, yaitu ATR 72, Boeing 737-800, dan Boeing 777-300ER. Berdasarkan hasil yang diperoleh, program berhasil melakukan analisis kemampuan pengoperasian take-off pesawat termasuk mengindikasikan ada tidaknya batasan operasional ketiga jenis pesawat terhadap kondisi landasan pada bandar udara acuan.