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All Journal Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC)
Muhammad Ari Roma Wicaksono
Sekolah Tinggi Teknologi Adisutjipto
Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Engineering

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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.
Co-Authors Freddy Kurniawan Lasmadi Lasmadi