Improvement of position and orientation of Unmanned Arial Vehicle (UAV) with INS/ GPS

  • Authors

    • V Appala Raju
    • P Vasundhara
    • V ChandraKanth Reddy
    • A Sai Aiswarya
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10914
  • UAV, INS, GPS, Extended Kalman Filter, Attitude and heading reference system.

  • Abstract

    This paper deals with the methods performing state estimation .that is position and orientation of Unmanned Arial Vehicle (UAV) using GPS, gyro, accelerometers and magnetometer sensors. Various methods are designed for position and orientation measurements of UAV. In this paper we proposed extended kalman filter based inertial navigation system using quaternions and 3D magnetometer. Initially we load UAV truth data from a file ,generate noisy UAV sensor measurements and perform UAV state estimation and display UAV state estimate results with proposed method compares with previously exited method extended  kalman filter based altitude and heading reference system using quaternion and 3D magnetometer simulation .Results shows that EKF-INS method gives better position and orientation of UAV.

     

     

  • References

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  • How to Cite

    Appala Raju, V., Vasundhara, P., ChandraKanth Reddy, V., & Sai Aiswarya, A. (2018). Improvement of position and orientation of Unmanned Arial Vehicle (UAV) with INS/ GPS. International Journal of Engineering & Technology, 7(2.7), 642-646. https://doi.org/10.14419/ijet.v7i2.7.10914

    Received date: 2018-04-02

    Accepted date: 2018-04-02

    Published date: 2018-03-18