Dynamic gyroscope sensors fusion and calibration using Kalman filter

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    The stability of an Unmanned Aerial Vehicle (UAV) during actual flight conditions is one parameter that is very important in systems design in Avionics. In this research, two sensors, the autopilot microcontroller and the smartphone gyroscope sensing mechanism, are fused together and calibrated to monitor the flying behavior of the UAV prior to actual test flights. The two fused sensors and installed inside the UAV for relatively increased sensing accuracy and best flight monitoring capabilities. A Kalman filter is used as fusion technique and a Stewart Motion tracker is also used to test the ruggedness and accuracy of the fused sensor system. Experiment results show that fused system can give an overall mean square error or 1.9729.


  • Keywords


    Unmanned Aerial Vehicle, Sensor Fusion, Kalman Filters, Microcontrollers, Smartphone.

  • References


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Article ID: 9959
 
DOI: 10.14419/ijet.v7i2.3.9959




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