Modelling inertial measurement unit error parameters for an unmanned air vehicle

Bağış Altınöz; Hüsamettin Eken; Anıl Cönger; Sultan Can

Makale detayları

Modelling inertial measurement unit error parameters for an unmanned air vehicle

Yazarlar:

Bağış Altınöz | Hüsamettin Eken | Anıl Cönger | Sultan Can

Yayıncı:

Ankara University

Ana Başlıklar:

Engineering

Dergi:

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering Vol.66 Issue 1, pp.64-81

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001304930

pISSN:

1303-6009

Anahtar kelimeler:

Özet:

 This paper demonstrates a study that focuses on the modeling, design, and realization of an Inertial Measurement Unit IMU component for the use of Unmanned Aerial Vehicles UAV. The experimental data is obtained by multiple flights conducted by the realized UAV TeknofestSEMRUK team UAV. The structure is remodeled for increasing the accuracy, and performance of the UAV after the conducted flights. Noise parameters are estimated throughout the Allan variance analysis. MEMS technology-based capacitive-type accelerometers and gyroscopes are preferred. This paper also discusses the error types and compares the real data with the modeled simulation data. Systematic errors of the inertial sensors are simulated according to their datasheet parameters. Sensor filters and noise are modeled and they are also implemented in the simulation. Simulation results and UAV measurements are compared to observe the efficiency of modeling. A complementary filter is presented and combined with a magnetometer, accelerometer, and gyroscope to obtain the ultimate design. The comparison showed a satisfactory agreement among the complementary filter measurements and UAV measurements in the stable position and the results presented.

 This paper demonstrates a study that focuses on the modeling, design, and realization of an Inertial Measurement Unit IMU component for the use of Unmanned Aerial Vehicles UAV. The experimental data is obtained by multiple flights conducted by the realized UAV TeknofestSEMRUK team UAV. The structure is remodeled for increasing the accuracy, and performance of the UAV after the conducted flights. Noise parameters are estimated throughout the Allan variance analysis. MEMS technology-based capacitive-type accelerometers and gyroscopes are preferred. This paper also discusses the error types and compares the real data with the modeled simulation data. Systematic errors of the inertial sensors are simulated according to their datasheet parameters. Sensor filters and noise are modeled and they are also implemented in the simulation. Simulation results and UAV measurements are compared to observe the efficiency of modeling. A complementary filter is presented and combined with a magnetometer, accelerometer, and gyroscope to obtain the ultimate design. The comparison showed a satisfactory agreement among the complementary filter measurements and UAV measurements in the stable position and the results presented.

 This paper demonstrates a study that focuses on the modeling, design, and realization of an Inertial Measurement Unit IMU component for the use of Unmanned Aerial Vehicles UAV. The experimental data is obtained by multiple flights conducted by the realized UAV TeknofestSEMRUK team UAV. The structure is remodeled for increasing the accuracy, and performance of the UAV after the conducted flights. Noise parameters are estimated throughout the Allan variance analysis. MEMS technology-based capacitive-type accelerometers and gyroscopes are preferred. This paper also discusses the error types and compares the real data with the modeled simulation data. Systematic errors of the inertial sensors are simulated according to their datasheet parameters. Sensor filters and noise are modeled and they are also implemented in the simulation. Simulation results and UAV measurements are compared to observe the efficiency of modeling. A complementary filter is presented and combined with a magnetometer, accelerometer, and gyroscope to obtain the ultimate design. The comparison showed a satisfactory agreement among the complementary filter measurements and UAV measurements in the stable position and the results presented.

 This paper demonstrates a study that focuses on the modeling, design, and realization of an Inertial Measurement Unit IMU component for the use of Unmanned Aerial Vehicles UAV. The experimental data is obtained by multiple flights conducted by the realized UAV TeknofestSEMRUK team UAV. The structure is remodeled for increasing the accuracy, and performance of the UAV after the conducted flights. Noise parameters are estimated throughout the Allan variance analysis. MEMS technology-based capacitive-type accelerometers and gyroscopes are preferred. This paper also discusses the error types and compares the real data with the modeled simulation data. Systematic errors of the inertial sensors are simulated according to their datasheet parameters. Sensor filters and noise are modeled and they are also implemented in the simulation. Simulation results and UAV measurements are compared to observe the efficiency of modeling. A complementary filter is presented and combined with a magnetometer, accelerometer, and gyroscope to obtain the ultimate design. The comparison showed a satisfactory agreement among the complementary filter measurements and UAV measurements in the stable position and the results presented.

Makale detayları

Modelling inertial measurement unit error parameters for an unmanned air vehicle

Yazarlar:

Bağış Altınöz | Hüsamettin Eken | Anıl Cönger | Sultan Can

Yayıncı:

Ankara University

Ana Başlıklar:

Engineering

Dergi:

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering Vol.66 Issue 1, pp.64-81

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001304930

pISSN:

1303-6009

Complementary filter

inertial measurement unit

sensors

unmanned aerial vehicles

Sayı

Makale detayları

Modelling inertial measurement unit error parameters for an unmanned air vehicle

Yazarlar: Bağış Altınöz | Hüsamettin Eken | Anıl Cönger | Sultan Can

Yayıncı: Ankara University

Ana Başlıklar: Engineering

Dergi: Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering Vol.66 Issue 1, pp.64-81

Belge Tipi: Makale

Yayın Tarihi: 6/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001304930

pISSN: 1303-6009

Complementary filter

inertial measurement unit

sensors

unmanned aerial vehicles

Sayı

Yazarlar:

Bağış Altınöz | Hüsamettin Eken | Anıl Cönger | Sultan Can

Yayıncı:

Ankara University

Ana Başlıklar:

Engineering

Dergi:

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering Vol.66 Issue 1, pp.64-81

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001304930

pISSN:

1303-6009