Browse > Article
http://dx.doi.org/10.5139/JKSAS.2022.50.11.771

Sequential Convex Programming Based Performance Analysis of UAV Design  

Ko, Hyo-Sang (Department of Aerospace Engineering, KAIST)
Choi, Hanlim (Department of Aerospace Engineering, KAIST)
Jang, Jong-Youn (LIG Nex1)
Kim, Joon (LIG Nex1)
Ryu, Gu-Hyun (LIG Nex1)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.50, no.11, 2022 , pp. 771-781 More about this Journal
Abstract
Sequential convex programming based performance analysis of the designed UAV is performed. The nonlinear optimization problems generated by aerodynamics are approximated to socond order program by discretization and convexification. To improve the performance of the algorithm, the solution of the relaxed problem is used as the initial trajectory. Dive trajectory optimization problem is analyzed through iterative solution procedure of approximated problem. Finally, the maximum final velocity according to the performance of the actuator model was compared.
Keywords
Sequential Convex Programming; Trajectory Optimization; Performance Analysis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Wang, Z. and Ye, L., "Improved sequential convex programming algorithms for entry trajectory optimization," Journal of Spacecraft and Rockets, Vol. 57, No. 6, 2020, pp. 1373~1386.   DOI
2 Betts, J. T., "Survey of Numerical Methods for Trajectory Optimization," Journal of Guidance, Control, and Dynamics, Vol. 21, No. 2, 1998, pp. 193~207.   DOI
3 Nocedal, J. and Wright, S. J., Numerical optimization, Springer Verlag, 1999, pp. 510~513.
4 Liu, X., Zuojun, S. and Ping, L., "Entry trajectory optimization by second-order cone programming," Journal of Guidance, Control, and Dynamics, Vol. 39, No 2, 2016, pp. 227~241.   DOI
5 XFLR5 : http://www.xflr5.tech/xflr5.htm
6 Ko, H. S. and Choi, H. L., "Configuration Design and Performance Analysis of Drone for SEAD mission," Proceeding of The Korean Society for Aeronautical and Space Sciences Spring Conference, November 2021, pp. 1012~1013.
7 Chamola, V., et al, "A comprehensive review of unmanned aerial vehicle attacks and neutralization techniques," Ad hoc networks, Vol. 111, 2021, 102324.   DOI
8 Roh, H. K., et al, "L1 Penalized Sequential Convex Programming for Fast Trajectory Optimization: With Application to Optimal Missile Guidance," International Journal of Aeronautical and Space Sciences, Vol. 21, No. 2, 2020, pp. 493~503.   DOI
9 Wang, Z. and Michael, J. G., "Constrained trajectory optimization for planetary entry via sequential convex programming," Journal of Guidance, Control, and Dynamics, Vol. 40, No. 10, 2017, pp. 2603~2615.   DOI
10 Boyd, S. and Vandenberghe, L., Convex Optimization, Cambridge University Press, Cambridge, England, U.K., 2004, pp. 127~187.
11 Szmuk, M., Behcet, A. and Andrew, W. B., "Successive convexification for fuel-optimal powered landing with aerodynamic drag and non-convex constraints," AIAA Guidance, Navigation, and Control Conference, January 2016, pp. 378~393.