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All Journal ELKHA : Jurnal Teknik Elektro Conference SENATIK STT Adisutjipto Yogyakarta Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC)
Lasmadi, Lasmadi
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Pengaruh Penggunaan Perturb & Observe pada MPPT terhadap Daya Keluaran Sel Surya Dalimunthe, Ernando Rizki; Kurniawan, Freddy; Lasmadi, Lasmadi
AVITEC Vol 1, No 1 (2019): Agustus 2019
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.328 KB) | DOI: 10.28989/avitec.v1i1.483

Abstract

Optimizing the solar cell output power requires a tracker. The tracker which produce a maximum output power is called a maximum power point tracking (MPPT). In this research, each component in MPPT is modeled into Simulink. By using a perturb and observe (P & O) algorithms, this simulation is designed to optimize the solar cell output power. The output of the algorithm is a duty cycle. This parameter is fed into a buck-boost converter to convert the solar cell output voltage to the output voltage. The simulation results show that MPPT can increase the output power up to 37.82% dispite of the sun irradiation, temperature and load changes.
Pemodelan dan Simulasi Robot Lengan 3 DOF Menggunakan V-REP Uchrowi, AZ; Lasmadi, Lasmadi; Soekarno, Sutjianto
AVITEC Vol 1, No 1 (2019): Agustus 2019
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.454 KB) | DOI: 10.28989/avitec.v1i1.489

Abstract

Movement of objects from one position to another position is usually by conventional method of human strength. Development of robotics technology makes movement of objects in the industry by arm robot system. By using arm robot system,  the work more effective. The aim  of this reaserch is to modeling 3 Degree of Freedom arm robot with kinematics method using V-REP software. Kinematics method is a subject that analyze robot movement without knowing the force that causes the movement. This research use the forward kinematics method so that arm robot can reach the goals. The input from this robot is an angle which is computed using the forward kinematics method. The output is an end-effector coordinate. Based on the result of the research, the 3 Degree of Freedom arm robot is capable to move the object from one position to another position and an error that occurs can achieve  4,99% for x coordinate, 5,57% for y coordinate, and 3,18% for z coordinate. Based on these results, the 3 Degree of Freedom arm robot with the forward kinematics method can be simulated in V-REP software effectively.
Sistem Navigasi Quadrotor Berbasis IMU dengan Kalman Filter Tuning Lasmadi, Lasmadi
ELKHA : Jurnal Teknik Elektro Vol. 11 No. 1, April 2019
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v11i1.30502

Abstract

The navigation system on quadrotor is important to maintain stability and determine its own position when flying autonomously. The GPS can provide the position measurement, but it has limitations in the specific environments and cannot provide the orientation information. This study aims to design the navigation system for quadrotor based on IMU sensor with Kalman filters using the state space model. The system model was developed using Matlab software. Kalman filter is designed to estimate the navigation data and eliminate noise on the sensor so that it can improve the measurement accuracy. The test results showed that the system model can provide orientation estimation and translation estimation of the quadrotor, while the Kalman filter model is acceptable to reduce noise on the sensor's raw data. When tested indoors, the system can provide the measurement accuracy above 90%.
Estimasi sudut orientasi rigid body dengan menggunakan sensor IMU (Inertial Measurement Unit) dan Magnetometer Sandi, Briyan Yoga; Kurniawan, Freddy; Lasmadi, Lasmadi
SENATIK STT Adisutjipto Vol 6 (2020): Keselamatan Penerbangan di masa Pandemi Covid-19 [ISBN 978-602-52742-2-0]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v6i0.425

Abstract

One of the instruments that can be used today for navigation is the IMU (Inertial Measurement Unit) sensor which consists of an accelerometer sensor, gyroscope, and an additional magnetometer. The three sensors are useful for determining the orientation angle. However, the presence of high enough noise in the three-output data can cause the orientation angle to be inaccurate. This study aims to determine the roll, pitch and yaw orientation more accurately using a Kalman filter. This filter is used because it has a lightweight computation and can reduce noise significantly. The results of this study show that the orientation angle calculated using the Kalman filter is close to the actual orientation angle with an accuracy of 99.2% for roll, 99.5% for pitch, and 98.6% for yaw.
Co-Authors Dalimunthe, Ernando Rizki Freddy Kurniawan Sandi, Briyan Yoga Soekarno, Sutjianto Uchrowi, AZ