PENENTUAN FAKTOR KALIBRASI SENSOR ACCELEROMETER ADXL345 PADA SUMBU X,Y,Z SEBAGAI DETEKSI POSISI/JARAK
| Main Author: | Andika N, Trio |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/39638/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/39638/2/BAB%20I.pdf http://eprints.umm.ac.id/39638/3/BAB%20II.pdf http://eprints.umm.ac.id/39638/4/BAB%20III.pdf http://eprints.umm.ac.id/39638/5/BAB%20IV.pdf http://eprints.umm.ac.id/39638/6/BAB%20V.pdf http://eprints.umm.ac.id/39638/7/LAMPIRAN.pdf http://eprints.umm.ac.id/39638/ |
Daftar Isi:
- Accelerometer is an acceleration sensor that is widely used as a major component in the manufacture of IMU (Inertial Measurement Unit). Accelerometer ADXL345 is an acceleration sensor with 4 choices of sensitivity levels of 2g, 4g, 8g, 16g. The accelerometer sensor sold has not been calibrated, so the sensor must be calibrated before use. In this final project design and manufacture accelerometer instrumentation as one component of IMU to detect position / distance with 3 axis of freedom. Data in the form of position / distance obtained from the result of a double integral process to the accelerometer output in the form of acceleration (grativasi). This instrumentation system consists of accelerometer sensor, microcontroller ATmega 2560 as the main processing unit, and computer / laptop that will process input data and display data output using the help of windows visual studio 2015. The calibration factor is a multiplier factor that converts the Bit data of the sensor output to the accelerated value of the measurement result. Test results and calculations have been done showed that the sensor output signal shaped sinusoida which is influenced by the process of movement and direction of motion of the object. The accelerometer output signal consists of information and noise signals, so filters and algorithms are required to compensate for the noise. The best algorithm on the x axis is algorithm 2 (A2) and the first integral endpoint (M2) with an average error of 14.7%. On the y-axis is the algorithm 1 (A1) and the first integral endpoint (M1) with an average error of 6.9%. And on the z axis is algorithm 2 (A2) and the first integral endpoint (M1) with an average error of 9.6%.