Experimental Determination of Low-Cost Servomotor Reliability for Small Unmanned Aircraft Applications

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One of the key challenges of designing low-cost Unmanned Aircraft Systems (UAS) is to ensure acceptable and certifiable reliability factors for the adopted Commercial-off-the-Shelf (COTS) components since their reliability is often not quantified. In this paper, the experimental results obtained for quantifying the reliability of mini Unmanned Aircraft (UA) servomotors (by recording their time-to-failure on a defined set of test runs) are presented. The Weibull prediction model is adopted for quantitative analysis and the associated key mathematical models. The methodology adopted for performing the reliability analysis including the test bench setup used for the experiments is described. The results indicate a level of reliability expected for low-cost servos. Such servos could be used for low-risk UAS operations (e.g. small UA operating over sparsely populated regions) and where the economics of the business case permitted higher loss rates.

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202-207

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. Weibel and R.J. Hansman, Safety Considerations for Operation of Different Classes of UAVs in the NAS, in proceedings of the 3rd AIAA Unmanned Unlimited Technical Conference, Workshop and Exhibit, pp.341-351. (2004) DOI: 10. 2514/6. 2004-6421.

DOI: 10.2514/6.2004-6421

Google Scholar

[2] M. Dermentzoudis, Establishment of Models and Data Tracking for Small UAV Reliability, Master's thesis, Naval Postgraduate School, Monterey, California, USA. (2004).

Google Scholar

[3] K.K. Bhamidipati, D. Uhligand N. Neogi, Engineering Safety and Reliability into UAV Systems: Mitigating the Ground Impact Hazard, AIAA. (2007) DOI: 10. 2514/6. 2007-6510.

DOI: 10.2514/6.2007-6510

Google Scholar

[4] B. Clough, Unmanned Aerial Vehicles: Autonomous Control Challenges, A Researcher's Perspective, Journal of Aerospace Computing, Information, and Communication, vol. 2, pp.327-347. (2005) DOI: 10. 2514/1. 5588.

DOI: 10.2514/1.5588

Google Scholar

[5] K. Dalamagkidis, K.P. Valavanis and L.A. Piegl, On Unmanned Aircraft Systems Issues, Challenges and Operational Restrictions Preventing Integration into the National Airspace System, Progress in Aerospace Sciences, vol. 44, pp.503-519. (2008).

DOI: 10.1016/j.paerosci.2008.08.001

Google Scholar

[6] N. Pinckney, Pulse-Width Modulation for Microcontroller Servomotor Control, Potentials, IEEE, vol. 25, pp.27-29. (2006).

DOI: 10.1109/mp.2006.1635026

Google Scholar

[7] Military Handbook, Reliability Prediction of Electronic Equipment, Department of Defence, USA. (1991).

Google Scholar

[8] R.E. Barlow, Mathematical Reliability Theory: From the Beginning to the Present Time, Mathematical and Statistical Methods in Reliability, ed. B. H. Lindqvist and K. A. Doksum, vol. 7, pp.3-15, World Scientific, London, UK. (2003).

DOI: 10.1142/9789812795250_0001

Google Scholar

[9] B.S. Dhillon, Reliability, Quality, and Safety for Engineers, CRC Press, London, UK. (2004).

Google Scholar

[10] A. Kleyner, Reliability Demonstration in Product Validation Testing, The Handbook of Performability Engineering, ed.K.B. Misra, Springer-Verlag, London, UK. (2008).

DOI: 10.1007/978-1-84800-131-2_34

Google Scholar

[11] R.B. Abernethy, The New Weibull Handbook, 5thed., North Palm Beach, FL, USA. (2001).

Google Scholar

[12] D.N.P. Murthy, M. Xie and R. Jiang, Weibull Models, Wiley, New York, USA. (2003).

Google Scholar

[13] M. Xie, C.D. Lai and D.N.P. Murthy, Weibull Related Distributions for the Modelling of Bathtub Shaped Failure Rate Functions, Mathematical and Statistical Methods in Reliability, vol. 7, ed. B.H. Lindqvist and K.A. Doksum, World Scientific, London, pp.283-299. (2003).

DOI: 10.1142/9789812795250_0019

Google Scholar

[14] M. Burston, R. Sabatini, A. Gardi and R. Clothier, Reverse Engineering of a Fixed Wing Unmanned Aircraft 6-DoF Model on Laser Scanner Measurements, in proceedings of IEEE International Workshop on Metrology for Aerospace, Benevento, Italy, pp.144-149. (2014).

DOI: 10.1109/metroaerospace.2014.6865910

Google Scholar

[15] HobbyKing. com HK15148B Digital Servomotor 19g/2. 8kg/0. 14s http: /www. hobbyking. com/ hobbyking/store/_38591_HK15148B_Digital_Servomotor_19g_2_8kg_0_14s_AUS_Warehouse_. html. (Accessed 26th May 2014).

Google Scholar

[16] EASA, Certification Specification 25 (CS25), Amendment 3rd ed. (2007).

Google Scholar

[17] S. Ramasamy, R. Sabatini and A. Gardi, Avionics Sensor Fusion for Small Size Unmanned Aircraft Sense-and-Avoid, in proceedings of IEEE International Workshop on Metrology for Aerospace, Benevento, Italy, pp.271-276. (2014).

DOI: 10.1109/metroaerospace.2014.6865933

Google Scholar

[18] R. Sabatini, A. Gardi and S. Ramasamy, A Laser Obstacle Warning and Avoidance System for Manned and Unmanned Aircraft, in proceedings of IEEE International Workshop on Metrology for Aerospace, Benevento, Italy, pp.616-621. (2014).

DOI: 10.1109/metroaerospace.2014.6865998

Google Scholar

[19] R. Sabatini, C. Bartel, A. Kaharkar, T. Shaid and S. Ramasamy, Navigation and Guidance System Architectures for Small Unmanned Aircraft Applications, International Journal of Mechanical, Industrial Science and Engineering, 8(4), pp.733-752, WASET. (2014).

Google Scholar