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A Cost Effective Motion Platform for Performance Testing of MEMS-Based Attitude and Heading Reference Systems

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Abstract

An accurate attitude and heading reference system (AHRS) is a key component to ensuring safe and reliable flight of unmanned aerial vehicles (UAVs). Recently, much attention has been given to developing AHRS using inertial sensors based on microelectromechanical sytems (MEMS). These MEMS-based AHRS are low-cost, lightweight, and consume little power. However, the advantages of inexpensive MEMS sensors are coupled with the drawback of having greater potential error in reported roll, pitch, and yaw angles due to increased sensor noise and drift. To minimize this error, advanced sensor fusion techniques such as Kalman Filtering are commonly implemented. Testing these techniques, and the AHRS as a whole, is therefore a crucial part of the performance optimization process. This paper outlines the development of an inexpensive 3-axis motion platform for AHRS calibration and testing that replicates aircraft motions from actual UAV flights, or from a flight simulator. To accomplish this, custom LabVIEW control software was developed to process time-stamped aircraft orientation data. Commands were then sent through a microcontroller to the motion platform, which reconstructs the flights with high precision (R2 = .994). By using this method, AHRS testing can be performed under more realistic conditions, providing an alternative to costly field testing. This technique is especially useful for simulations of autonomous vehicle technologies such as collision avoidance, where an increased risk of damage to the UAV is present.

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References

  1. Cox, T., Nagy, C., Skoog M., Somers I.: Civil UAV capability assessment. Dryden Flight Research Center (2005)

  2. Zaloga S.J., Rockwell D., Finnegan P.: World Unmanned Aerial Vehicle Systems Narket Profile and Forecast. Teal Group Corporation (2011)

  3. Schneiderman, R.: Unmanned drones are flying high in the military/aerospace sector. IEEE Signal Process. Mag. 29(1), 8–11 (2012)

    Article  MathSciNet  Google Scholar 

  4. Geiger, W., Bartholomeyczik, J. Breng, U., Gutmann, W., Hafen, M., Handrich, E., Huber, M., Jackle, A., Kempfer, U., Kopmann, H., Kunz, J., Leinfelder, P., Ohmberger, R., Probst, U., Ruf, M., Spahlinger, G., Rasch, A., Straub-Kalthoff, J., Stroda, M., Stumpf, K.,Weber, C., Zimmermann, M., Zimmermann, S.: MEMS IMU for AHRS applications. In: Proc. IEEE/ION PLANS, pp. 225–231 (2008)

  5. Sukkarieh, S., Gibbens, P., Grocholsky, B., Willis, K. and Durrant-Whyte, H.F.: A low-cost, redundant inertial measurement unit for unmanned air vehicles. Int. J. Robot. Res. 19(11), 1089–1103 (2000)

    Article  Google Scholar 

  6. Sherry, L., Brown, C., Motazod, B., Vos, D.: Performance of automotive-grade MEMS sensors in low cost AHRS for general aviation. Proc. Digital Avionics Sys. Conf. 22(2), 12–16 (2003)

    Google Scholar 

  7. Sasiadek, J.Z., Hartana, P.: Sensor fusion for navigation of an autonomous unmanned aerial vehicle. In: Robotics and Automation, 2004. Proc. of Intl. Conf. Robot. Autom. vol. 4, pp. 4029–4034 (2004)

  8. Jang, J.S., Liccardo, D.: Small UAV automation using MEMS. IEEE Aerosp. Electron. Syst. Mag. 22(5), 30–34 (2007)

    Article  Google Scholar 

  9. Hou, H.: Modeling inertial sensor errors using allan variance. M.Sc. thesis, University of Calgary (2004)

  10. Aggarwal, P., Syed, Z., Niu, X., El-Sheimy, N.: A standard testing and calibration procedure for low cost MEMS inertial sensors and units. J. Navig. 61(2), 323–336 (2008)

    Google Scholar 

  11. Beard, R., McLain, T.: Small Unmanned Aircraft: Theory and Practice. Princeton University Press, Princeton (2012)

    Google Scholar 

  12. Skog, I., Handel, P.: Calibration of a MEMS Inertial Measurement Unit. In: Proceedings XVIII IMEKO World Congress, pp. 17–22 (2006)

  13. Jurman, D., Jankovec, M., Kamnik, R., Topic, M.: Calibration and data fusion solution for the miniature attitude and heading reference system. Sensor. Actuator. A 138, 411–420 (2007)

    Article  Google Scholar 

  14. Lai, Y., Jan, S. Hsiao, F.: Development of a low-cost attitude and heading reference system using a three-axis rotating platform. Sensors 10, 2472–2491 (2010)

    Article  Google Scholar 

  15. Jung, D., Levy, J., Zhou, D., Fink, R., Moshe, J. Earl, A., Tsiotras, P.: Design and development of a low-cost test-bed for undergraduate education in UAVS. In: Proc. 44th IEEE Conf. on Decision and Control, pp. 2739–2744 (2005)

  16. Murtha, J.F., Cotting, M.C., Wolek, A., Aarons, T., Woolsey, C.A.: The educational impact of creating a new UAV for curriculum enhancement. In: AIAA Atmospheric Flight Mechanics Conference (2009)

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of South Carolina, Columbia, SC, 29208, USA

    Zachary Wachter

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  1. Zachary Wachter
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Correspondence to Zachary Wachter.

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This research was supported by the NASA Space Grant and College Fellowship Program, through the South Carolina Space Grant Consortium.

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Wachter, Z. A Cost Effective Motion Platform for Performance Testing of MEMS-Based Attitude and Heading Reference Systems. J Intell Robot Syst 70, 411–419 (2013). https://doi.org/10.1007/s10846-012-9736-z

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  • DOI: https://doi.org/10.1007/s10846-012-9736-z

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