Browse > Article
http://dx.doi.org/10.5139/JKSAS.2018.46.2.141

Adaptive Neural Network Controller Design for a Blended-Wing UAV with Complex Damage  

Kim, Kijoon (Electronics and Telecommunications Research Institute)
Ahn, Jongmin (Agency for Defense and Development)
Kim, Seungkeun (Chungnam National University)
Suk, Jinyoung (Chungnam National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.46, no.2, 2018 , pp. 141-149 More about this Journal
Abstract
This paper presents a neural network controller design for complex damage to a blended wing Unmanned Aerial Vehicle(UAV): partial loss of main wing and vertical tail. Longitudinal/lateral axis instability and the change of flight dynamics is investigated via numerical simulation. Based on this, neural network based adaptive controller combined with two types of feedback linearization are designed in order to compensate for the complex damage. Performance of two kinds of dynamic inversion controllers is analyzed against complex damage. According to the structure of the dynamic inversion controller, the performance difference is confirmed in normal situation and under damaged situation. Numerical simulation verifies that the instability from the complex damage of the UAV can be stabilized via the proposed adaptive controller.
Keywords
Blended-Wing UAV; Complex Damage; Neural Network Controller;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Byun, W. I., Kim, J. B., and Hwang, C. Y., "Domestic Policy Ready for a Coming of Age for Civil UAV," Proceeding of The Korean Society for Aeronautical and Space Sciences Fall Conference, September 2014, pp.948-951.
2 Page A, Meloney E, and Monaco J., "Flight Testing of a Retrofit Reconfigurable Control Law Architecture Using an F/A-18C," AIAA Guidance, Navigation and Control Conference, Keystone, CO, Aug. 21-24, 2006.
3 Jourdan D, Piedmonte M, Gavrilets V, Vos D, and McCormick J., "Enhancing UAV Survivability Through Damage Tolerant Control," AIAA Guidance, Navigation, and Control Conference, Toronto, Ontario Canada, Aug. 2-5, 2010.
4 Dydek Z, Annaswamy A, and Lavretsky E., "Adaptive Control of Quadrotor UAVs : A Design Trade Study With Flight Evaluations," IEEE Transactions on Control Systems Technology, Vol. 21, No. 4, 2013, pp.1400-1406.   DOI
5 Chowdhary G, Johnson E, Chandramohan R, Kimbrell M, and Calise A., "Guidance and Control of Airplanes Under Actuator Failures and Severe Structural Damage," Journal of Guidance, Control, and Dynamics, Vol. 36, No. 4, 2013, pp.1093-1104.   DOI
6 Kim, K. J., Ahn, J. M., Kim, S. K., Kim, D. M., Suk, J. Y., Lim, H. S., Hur, G. B., Kim, N. W., and Kim, B. S., "Flight test of a Flying-Wing Type UAV with Partial Wing Loss Using Neural Network Controller," AIAA Guidance, Navigation, and Control Conference, Guidance, Navigation, and Control and Co-located Conferences, Boston, MA, Aug. 2013.
7 Kim, D. H., Kim, N. W., Suk, J. Y., and Kim, B. S., "Neural Network Based Adaptive Control for a Flying-Wing Type UAV with Wing Damage," Journal of The Korean Society for Aeronautical and Space Sciences Vol. 41 No. 5, 2013, pp.342-349.   DOI
8 Kim, K. J., Ahn, J. M., Kim, S. K., Choi, J. S., Suk, J. Y., Lim, H. S., and Hur, G. B., "Analysis of partial wing damage on flying-wing unmanned air vehicle," Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 228, No. 3, 2014, pp.355-374.   DOI
9 Calise A, Lee S, and Sharma M., "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