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http://dx.doi.org/10.20910/JASE.2017.11.1.14

Control Law Design for a Tilt-Duct Unmanned Aerial Vehicle using Sigma-Pi Neural Networks  

Kang, Youngshin (Flight Control Research Team, Korea Aerospace Research Institute)
Park, Bumjin (Flight Control Research Team, Korea Aerospace Research Institute)
Cho, Am (Flight Control Research Team, Korea Aerospace Research Institute)
Yoo, Changsun (Flight Control Research Team, Korea Aerospace Research Institute)
Publication Information
Journal of Aerospace System Engineering / v.11, no.1, 2017 , pp. 14-21 More about this Journal
Abstract
A Linear parameterized Sigma-Pi neural network (SPNN) is applied to a tilt-duct unmanned aerial vehicle (UAV) which has a very large longitudinal stability ($C_{L{\alpha}}$). It is uncontrollable by a proportional, integral, derivative (PID) controller due to heavy stability. It is shown that the combined inner loop and outer loop of SPNN controllers could overcome the sluggish longitudinal dynamics using a method of dynamic inversion and pseudo-control to compensate for reference model error. The simulation results of the way point guidance are presented to evaluate the performance of SPNN in comparison to a PID controller.
Keywords
Neural Networks; Control Law; Tilt-Duct UAV; Vertical Take Off and Landing (VTOL); Conversion;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Martin, P. and Tung, C., "Performance and Flowfield Measurements on a 10-inch Ducted Rotor VTOL UAV," Proceedings of the 60th Annual Forum of the A merican Helicopter Society, Baltimore, MD, June 7-10, 2004.
2 Graf, W., Fleming. J., and Ng, W., "Improving Ducte d Fan UAV Aerodynamics in Forward Flight," 46th AIAA Aerospace Sciences Meeting and Exhibit, 7-10 Jan. 2008, Reno, Nevada, AIAA 2008-430.
3 Ryu, M., Cho, L., and Cho, J., "Experimental Study on the Aerodynamic Charactericstics of the Ducted fan for the Propulsion of a Small UAV", Journal of The Korean Society for Aeronautical and Space Sciences, Vol.40, No.5, 2012, pp.413-422.   DOI
4 Kang, Y.S., Park, B.J., Cho, A. Yoo, C.S., Choi, S. W., "Guidance Law Design for a Tilt-Duct Unmanned Aerial Vehicle," 2014 Fall Aerospace System Conference, 2014.10.31. Muju.
5 Kang, Y.S., Park, B.J., Cho, A. Yoo, C.S., "Design Improvement of Guidance Control for Tilt Duct UAV", 2015 The Korean Society for Aviation and Aeronautics Conference, 2015.5.22. Hanseo Univ.
6 H. K. Khalil, 2002, Nonlinear Systems, 3rd Ed., Prentice Hall, New Jersey.
7 A. Isidori, 1995, Nonlinear Control Systems, 3rd Ed., Springer, New York.
8 Kim, B. and Calise, A., "Nonlinear Flight Control Using Neural Networks", Journal of Guidance, Control, and Dynamics, Vol. 20, No. 1, 1997, pp. 26-33.   DOI
9 Kim, B.M., Kim, B.S, Kim, N.W., "Trajectory Tracking Controller Design Using Neural Networks for a T iltrotor Unmanned Aerial Vehicle", Proceedings of the Institution of Mechanical Engineers, Part G: Journ al of Aerospace Engineering August 1, 2010, Vol. 224, No. 8, pp. 881-896.   DOI
10 Kang YS, Kim NW, Kim BS, et al. Autonomous Waypoint Guidance for Tilt-rotor Unmanned Aerial Veh icle that Has Nacelle Fixed Auxiliary Wings. Proceedings of the Institution of Mechanical Engineers, Part G - Journal of Aerospace Engineering 2014; Vol. 228, No.14, pp. 2695-2717. DOI:10.1177 /09544100145 25127.   DOI
11 T. I. Fossen, Marine Control Systems - Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles. Marine Cybernetics (http://www.marinecybernetics.com), Norway, 2002, pp. 167-169.
12 P. Kim, Rigid Body Dynamics for Beginners - Euler Angles & Quaternions, CreateSpace Independent Publishing Platform, USA, 2013, pp.64-69.
13 Kang, Y.S., Park, B.J., Cho, A. Yoo, C.S., Choi, S. W., "Control Law Design for Tilt-Duct UAV", 2013 Fall Aerospace System Conference, 2013.11.01. Kyungju.
14 Eric N. Johnson and Anthony J. Calise, "Pseudo-Control Hedging: A new method for adaptive control", Advances in Navigation Guidance and Control Technology Workshop November 1-2, 2000, Redstone Arsenal, Alabama.
15 Rysdyk, R. T. and Calise, A. J. "Nonlinear Adaptive Flight Control Using Neural Networks," IEEE Controls Systems Magazine, Vol. 18, No. 6, Dec 1998, pp. 14-25.   DOI