Browse > Article
http://dx.doi.org/10.5139/JKSAS.2013.41.5.342

Neural Network Based Adaptive Control for a Flying-Wing Type UAV with Wing Damage  

Kim, DaeHyuk (Research Institute of Marine Systems Engineering, Seoul National University)
Kim, Nakwan (Research Institute of Marine Systems Engineering, Seoul National University)
Suk, Jinyoung (Department of Aerospace Engineering, Chungnam National University)
Kim, Byungsoo (Department of Aerospace Engineering, Gyeongsang National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.41, no.5, 2013 , pp. 342-349 More about this Journal
Abstract
A damage imposed on an unmanned aerial vehicle changes the flight dynamic characteristics, and makes difficult for a conventional controller based on undamaged dynamics to stabilize the vehicle with damage. This paper presents a neural network based adaptive control method that guarantees stable control performance for an unmanned aerial vehicle even with damage on the main wing. Additionally, Pseudo Control Hedging (PCH) is combined to prevent control performance degradation by actuator characteristics. Asymmetric dynamic equations for an aircraft are chosen to describe motions of a vehicle with damage. Aerodynamic data from wind tunnel test for an undamaged model and a damaged model are used for numerical validation of the proposed control method. The numerical simulation has shown that the proposed control method has robust control performance in the presence of wing damage.
Keywords
UAV; Neural Network; Adaptive Control; Wing Damage; Asymmetric Dynamics;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Jongmin Ahn, Kijoon Kim, Jinyoung Suk, "Study of Damaged Asymmetric Aircraft's Flight Dynamics Characteristics," Proceedings 2011 of Korean Society for Aeronautical and Space Sciences, 2011, pp. 459-462.
2 Kijoon Kim, Jong-min Ahn, Jae-Ha Lee, Jong Su Choi, Heungsik Lim, Ki-Bong Huh, Jinyoung Suk, "Flight Dynamic Characteristics of a Flying-Wing Type UAV with Wing Damage," Proceedings 2012 of Korean Society for Aeronautical and Space Sciences, 2012, pp. 394-399.
3 Nelson, R.C., "Flight stability and automatic control", McGraw Hill 2nd edition, 1998.
4 Nakwan Kim, Eung Tai Kim, Jangho Lee, "Development of a Reconfigurable Flight Controller Using Neural Networks and PCH", Journal of Institute of Control, Robotics and Systems, Vol.13, No.5, pp.422-428   과학기술학회마을   DOI   ScienceOn
5 Barton J. Bacon and Irene M. Gregory, "General Equations of Motion for a Damaged Asymmetric Aircraft," Proceedings of 2007 AIAA GNC Conference, No. AIAA-2007-6306, Hilton Head, SC, August 2007.
6 A. J. Calise, N. Hovakimyan, M. Idan, "Adaptive output feedback control of nonlinear systems using neural networks," Automatica, Vol.37, No.8, 2001, pp. 1201-1211.   DOI   ScienceOn
7 B.S. Kim. and A. J. Calise, "Nonlinear Flight Control Using Neural Networks," Journal of Guidance, Control and Dynamics, Vol.20, No.1, 1997, pp. 26-33.   DOI   ScienceOn
8 Corey Ippolito and Yoo-Hsiu Yeh, John Kaneshige, "Neural Adaptive Flight Control Testing on an Unmanned Experimental Aerial Vehicle," Proceedings of 2007 Aerospace Conference and Exhibit, AIAA-2007-2827, 2007.
9 Liu, Y., and Tao, G., "Multivariable MRAC for Aircraft with Abrupt Damages," Proceedings of 2008 American Control Conference, Inst. of Elecrical and Electronics Engineers, Piscataway, NJ, June 2008, pp. 2981-2986.
10 Nhan Nguyen, Kalmanje Krishnakumar, John Kaneshige, Pascal Nespeca, "Dynamics and Adaptive Control for Stability Recovery of Damaged Asymmetric Aircraft," AIAA Guidance, Navigation, and Control Conference and Exhibit, AIAA-2006-6049.
11 A. J. Calise, Seungjae Lee, and Manu Sharma, "Development of a Reconfigurable Flight Control Law for Tailless Aircraft," Journal of Guidance, Control and Dynamics, Vol.24, No.5, 2001, pp. 896-902.   DOI   ScienceOn