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Estimasi Sudut Rotasi Benda Kaku Berbasis IMU Menggunakan Kalman Filter Lasmadi Lasmadi; Freddy Kurniawan; Muhammad Irfan Pamungkas
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 3, No 1 (2021): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v3i1.909

Abstract

Rotation angle estimates are often required and applied to the dynamics of spacecraft, UAVs, robots, underwater vehicles, and other systems before control. IMU is an electronic module that is used as an angle estimation tool but has noise that can reduce the accuracy of the estimation. This study aims to develop an estimation model for the angle of rotation of a rigid body based on the IMU-gyroscope sensor on a smartphone using a Kalman filter. The estimation model is developed in a simple dynamic equation of motion in state-space. Kalman filters are designed based on system dynamics models to reduce noise in sensor data and improve measurement estimation results. Simulations are carried out with software to investigate the accuracy of the developed estimation algorithm. Experiments were carried out on several smartphone rotations during the roll, pitch, and yaw. Then, the experimental data obtained is analyzed for accuracy by comparing the built-in algorithms on smartphones. Based on the experimental results, the accuracy rate of estimation angle is 94% before going through the Kalman filter and an accuracy level of above 98% after going through the Kalman filter for every rotation on the x-axis, y-axis, and z-axis.
Pemodelan dan Simulasi Robot Lengan 3 DOF Menggunakan V-REP AZ Uchrowi; Lasmadi Lasmadi; Sutjianto Soekarno
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 1, No 1 (2019): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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.
Kalman Filter untuk Mengurangi Derau Sensor Accelerometer pada IMU Guna Estimasi Jarak Muhammad Ari Roma Wicaksono; Freddy Kurniawan; Lasmadi Lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 2, No 2 (2020): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v2i2.752

Abstract

This study aims to develop a Kalman filter algorithm in order to reduce the accelerometer sensor noise as effectively as possible. The accelerometer sensor is one part of the Inertial Measurement Unit (IMU) used to find the displacement distance of an object. The method used is modeling the system to model the accelerometer system to form mathematical equations. Then the state space method is used to change the system modeling to the form of matrix operations so that the process of the data calculating to the Kalman Filter algorithm is not too difficult. It also uses the threshold algorithm to detect the sensor's condition at rest. The present study had good results, which of the four experiments obtained with an average accuracy of 93%. The threshold algorithm successfully reduces measurement errors when the sensor is at rest or static so that the measurement results more accurate. The developed algorithm can also detect the sensor to move forward or backward.
Pengaruh Penggunaan Perturb & Observe pada MPPT terhadap Daya Keluaran Sel Surya Ernando Rizki Dalimunthe; Freddy Kurniawan; Lasmadi Lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 1, No 1 (2019): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v1i1.483

Abstract

Optimizing the output power value of a solar cell requires a tracker. The tracking is called the maximum power point tracking (MPPT) which will produce a maximum output power value. Each component in this system is modeled into Simulink. This simulation is designed to optimize the work of solar cells by searching maximum power points using perturb and observe (P&O) algorithms, then duty cycles are output of the algorithms become Buck-Boost Converter inputs as switching so they can produce output power with better output power. Simulation results show that MPPT can increase the average output power on changes in the value of sun irradiation, temperature and load than systems that do not use MPPT. The factor of the average difference in power is 37.82%.
Rancang Bangun Receiver menggunakan Antena 1090 MHz dan Low Noise Amplifier untuk Menambah Jarak Jangkau Penerimaan Sinyal dan Data Parameter Target ADS-B berbasis RTL820T2 Maulana Sohibi; Denny Dermawan; Lasmadi lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 2, No 2 (2020): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v2i2.765

Abstract

Radar technology at several airports is still using flightradar24 as a source of information, and building an ADS-B station is expensive. However, the flightradar24 has several weaknesses, among which is that if the user wants to display more information, the user is required to pay periodically or subscriptions, and there is delay due to the process of data that requires the Internet connection. With a concept of receiver ads-b based RTL-SDR R820T2, a low cost receiver ads-b with the results can receive an ads-b signal without delay and can receive data from an airplane. But there is a weakness in rtl-b receivers based RTL-SDR R820T2, because it doesn't explain and can't know how far the receiver can receive signals and target parameters data from the aircraft. Thus on this research a receiver ads-b using RTL-SDR R820T2, with a low-noise amplification and an ads-b antenna 1090 MHZ in the hopes of knowing how far the aircraft's target range is from the receiver and knowing how far the receiver's range of data signals the target parameters. By performing some step-by-step testing of the design. The designed receiver ads-b USES low noise amplification with an ads-b antenna 1090 MHZ capable of receiving data and target parameters ads-b for 284 km on adsbSCOP software range and 287.63 km mathematically.
Pengenalan basic navigation-dead reckoning bagi mahasiswa dan alumni Teknik Elektro Institut Teknologi Dirgantara Adisutjipto Lasmadi Lasmadi; Freddy Kurniawan; Sutjianto Sukarno
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 5, No 1 (2022): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v5i1.1029

Abstract

Pengetahuan avionik merupakan hal yang sangat diperlukan bagi mahasiswa prodi Teknik Elektro Institut Teknologi Dirgantara Adisutjipto. Bagi mahasiswa yang mendapatkan kurikulum baru, mereka telah dibekali pengetahuan avionik sesuai dengan target. Namun, bagi angkatan dengan kurikulum sebelumnya dan juga alumni, pengetahuan ini belum sepenuhnya didapatkan. Program pengabdian ini bertujuan untuk memberikan pengetahuan avionik Dead reckoning system kepada mahasiswa prodi Teknik Elektro khususnya angkatan 2016 dan sebelumnya serta alumni. Program ini diwujudkan dalam bentuk webinar melalui media zoom selama dua hari yang terbagi dalam  5 sesi penyampaian materi. Materi disajikan dalam bentuk slide presentasi yang disampaikan oleh para dosen prodi Teknik Elektro. Untuk lebih mendesiminasikan pengetahuan, kegiatan ini juga disiarkan melalui kanal youtube agar dapat diikuti oleh semua lapisan masyarakat. Berdasarkan asal peserta yang mengikuti webinar ini, dapat disimpulkan bahwa pelatihan ini telah memenuhi sasaran. Selain itu, berdasarkan jumlah peserta dan respon yang diberikan kegiatan ini dapat memberikan manfaat bagi sebagian besar peserta. Kegiatan serupa dapat diadakan kembali pada waktu mendatang dengan materi yang berbeda dalam lingkup kedirgantaraan.