Abstract
This paper presents a detailed aerodynamic modeling technique along with a fuzzy switching multi-model guidance and control strategy for a custom blended wing-body tilt-rotor unmanned aerial vehicle (UAV). The tilt-rotor configuration affects the overall aerodynamic characteristics significantly and hence, a comprehensive mathematical model is required. Thus, after a configuration selection and design process, a 6DOF mathematical model including a thrust model, propeller effects on the wings and free-stream aerodynamics is developed in this work. Due to a higher tendency of inherently unstable motion with increasing rotor angles and rapidly changing aerodynamic characteristics, multiple models are generated to cover the whole tilting regime. For the control of tilting motion, gain-scheduled flight controllers are preferred. While switching between the models, a fuzzy logic based algorithm is employed. The proposed technique is able to successfully control the aircraft for a full flight envelope from hover to landing. It is also evident from the results that, in the same tilting duration, the fuzzy switching algorithm helps the UAV to show a superior tracking performance when compared to the linear switching technique at a fixed tilting rate.
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References
Tomic, T., Schmid, K., Lutz, P., Domel, A., Kassecker, M., Mair, E., Grixa, I.L., Ruess, F., Suppa, M., Burschka, D.: Toward a fully autonomous UAV: research platform for indoor and outdoor urban search and rescue. IEEE Robot. Autom. Mag. 19(3), 46–56 (2012)
Faessler, M., Fontana, F., Forster, C., Mueggler, E., Pizzoli, M., Scaramuzza, D.: Autonomous, vision-based flight and live dense 3D mapping with a quadrotor micro aerial vehicle. J. Field Robot. 33(4), 431–450 (2016). https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.21581
Nex, F., Remondino, F.: UAV for 3D mapping applications: a review. Appl. Geom. 6(1), 1–15 (2014). https://doi.org/10.1007/s12518-013-0120-x
Bircher, A., Alexis, K., Burri, M., Oettershagen, P., Omari, S., Mantel, T., Siegwart, R.: Structural inspection path planning via iterative viewpoint resampling with application to aerial robotics. In: Proceedings of 2015 IEEE International Conference on Robotics and Automation (ICRA), May 2015, pp. 6423–6430 (2015)
Austin, R.: Unmanned Aircraft Systems: UAVS Design, Development and Deployment, vol. 54. Wiley, Hoboken (2011)
Govdeli, Y., Wong, Z.W., Kayacan, E.: Additive manufacturing of unmanned aerial vehicles: current status, recent advances, and future perspectives. In: Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), pp. 39–48 (2016)
Beard, R.W., Kingston, D., Quigley, M., Snyder, D., Christiansen, R., Johnson, W., McLain, T., Goodrich, M.: Autonomous vehicle technologies for small fixed-wing UAVs. J. Aerosp. Comput. Inf. Commun. 2(1), 92–108 (2005)
Low, J.M., Govdeli, Y., Ravindrababu, S., Kayacan, E.: On the comparison of diamond honeycomb and 3D-Kagome structures for 3D printed UAVs. In: Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2018), pp. 341–346 (2018)
Lyu, X., Gu, H., Wang, Y., Li, Z., Shen, S., Zhang, F.: Design and implementation of a quadrotor tail-sitter VTOL UAV. In: Proceedings of 2017 IEEE International Conference on Robotics and Automation (ICRA), May 2017, pp. 3924–3930 (2017)
Nelson, R.C.: Flight Stability and Automatic Control, vol. 2. WCB/McGraw Hill, New York (1998)
Yuksek, B., Vuruskan, A., Ozdemir, U., Yukselen, M., Inalhan, G.: Transition flight modeling of a fixed-wing VTOL UAV. J. Intell. Robot. Syst. 84(1–4), 83–105 (2016)
Ravindrababu, S., Govdeli, Y., Wong, Z.W., Kayacan, E.: Evaluation of the influence of build and print orientations of unmanned aerial vehicle parts fabricated using fused deposition modeling process. J. Manuf. Process. 34, 659–666 (2018)
Singh, S., Padhi, R.: Automatic path planning and control design for autonomous landing of UAVs using dynamic inversion. In: Proceedings of 2009 American Control Conference, June 2009, pp. 2409–2414 (2009)
Hervas, J.R., Reyhanoglu, M., Tang, H., Kayacan, E.: Nonlinear control of fixed-wing UAVs in presence of stochastic winds. Commun. Nonlinear Sci. Numer. Simul. 33, 57–69 (2016)
Sujit, P., Saripalli, S., Sousa, J.B.: Unmanned aerial vehicle path following: a survey and analysis of algorithms for fixed-wing unmanned aerial vehicless. IEEE Control Syst. 34(1), 42–59 (2014)
Sehab, R.: Fuzzy PID supervision for a nonlinear, system: design and implementation. In: Proceedings of NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, June 2007, pp. 36–41 (2007)
Williams, J.E., Vukelich, S.R.: The USAF stability and control digital datcom: users manual. Techncial report, vol. I. McDonnell Douglas Astronautics, Co St Louis, MO (1979)
Napolitano, M.R.: Aircraft Dynamics: From Modeling to Simulation. Wiley, Hoboken (2012)
Johnson, W.: Rotorcraft Aeromechanics. Cambridge Aerospace Series. Cambridge University Press, Cambridge (2013)
Nguyen, H.D., Yu, L., Mori, K.: Aerodynamic characteristics of quadrotor helicopter. In: Proceedings of AIAA Flight Testing Conference, AIAA AVIATION Forum, pp. 31–41 (2017)
Sato, M., Muraoka, K.: Flight controller design and demonstration of quad-tilt-wing unmanned aerial vehicle. J. Guid. Control Dyn. 38(6), 1071–1082 (2014)
Tran, A.T., Sakamoto, N., Sato, M., Muraoka, K.: Control augmentation system design for quad-tilt-wing unmanned aerial vehicle via robust output regulation method. IEEE Trans. Aerosp. Electron. Syst. 53(1), 357–369 (2017)
Kayacan, E., Khanesar, M.A.: Chapter 7 - Sliding mode control theory-based parameter adaptation rules for fuzzy neural networks. In: Kayacan, E., Khanesar, M.A. (eds.) Fuzzy Neural Networks for Real Time Control Applications, pp. 85–131. Butterworth-Heinemann, Oxford (2016). http://www.sciencedirect.com/science/article/pii/B9780128026878000074
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This research is supported by the National Research Foundation, Prime Ministers Office, Singapore under its Medium-Sized Centre funding scheme.
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Govdeli, Y., Tran, A.T., Kayacan, E. (2019). Multiple Modeling and Fuzzy Switching Control of Fixed-Wing VTOL Tilt-Rotor UAV. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_25
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