Optimal Design of Airfoil Platform Shapes with High Aspect Ratio Using Genetic Algorithm

Authors: Kyoungwoo Park, Byeong-Sam Kim

Abstract:

Unmanned aerial vehicles (UAVs) performing their operations for a long time have been attracting much attention in military and civil aviation industries for the past decade. The applicable field of UAV is changing from the military purpose only to the civil one. Because of their low operation cost, high reliability and the necessity of various application areas, numerous development programs have been initiated around the world. To obtain the optimal solutions of the design variable (i.e., sectional airfoil profile, wing taper ratio and sweep) for high performance of UAVs, both the lift and lift-to-drag ratio are maximized whereas the pitching moment should be minimized, simultaneously. It is found that the lift force and lift-to-drag ratio are linearly dependent and a unique and dominant solution are existed. However, a trade-off phenomenon is observed between the lift-to-drag ratio and pitching moment. As the result of optimization, sixty-five (65) non-dominated Pareto individuals at the cutting edge of design spaces that are decided by airfoil shapes can be obtained.

Keywords: Unmanned aerial vehicle (UAV), Airfoil, CFD, Shape optimization, Genetic Algorithm.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083355

References:

[1] H. C. Hwang and K.J. Yoon, "2004 International MAV Competition and Analysis for the MAV Technologies", Journal of KSAS(Korean), 2004.
[2] S.A. Cambone, K.J. Krieg, P. Pace, and W. Linton, "Unmanned Aircraft Systems Roadmap 2005-2030," Office of the Secretary of Defense, 2005.
[3] D. Schawe, C.H. Rohardt, and G. Wichmann, "Aerodynamic design assessment of Strato 2C and its potential for unmanned high altitude airbone platforms," Aerospace Science and Technology No. 6, 2002, pp43-51.
[4] Z. Goraj, "Design challenges associated with development of a new generation UAV," Aircraft Engineering and Aerospace Technology: An International Journal, Vol. 77, No. 5, 2005, pp.361-368.
[5] T. G. Grabowski, A. Frydrychewicz, Z. Goraj and Suchodolski, "MALE UAV design of an increased reliability level," Aircraft Engineering and Aerospace Technology: An international Journal, Vol. 78, No. 3, 2006, pp 226-235.
[6] S. Painchaud-Ouellet, C. Tribues, J.Y. Trepanier, and D. Pelletier, "Airfoil Shape Optimization Using a Nonuniform Rational B-Splines Parametrization Under Thickness Constraint," AIAA Journal, Vol. 44, No. 10, 2006, pp. 2170-2178.
[7] D.J. Pines and F. Bohorquez,., "Challenges Facing Future Micro-Air- Vehicle Development," Journal of Aircraft, Vol. 43, No. 2, 2006, pp.290-305.
[8] T.T.H. Ng and G.S.B. Leng, "Application of genetic algorithms to conceptual design of a micro-air-vehicle," Engineering Applications of Artificial Intelligence, Vol 15, 2002, pp439-445.
[9] A.S. Fraser, "Simulation of genetic systems," Journal of Theoretical Biology, 1962, pp. 329-349.
[10] J.H. Holland, Adaptation in Natural and Artificial Systems: an Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, MIT Press, Cambridge, 1975.
[11] D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addision-Wesley, 1989.
[12] A.C. Poloni, A. Giurgevich, L. Onesti, and V. Pediroda, "Hybridization of a Multi-Objective Genetic Algorithm, a Neural Network and a Classical Optimizer for a Complex Design Problem in Fluid Dynamics", Dipartimento di Energetica Universita di Trieste, Italy, 1999.
[13] L.B. Booker, Improving Search in Genetic Algorithms," in Davis L (Editor), Genetic Algorithms and Simulated Annealing, Morgan Kaufmann Publishers, Los Altos, CA 1987.
[14] J. Lee, S. Lee, and K. Park, "Global Shape Optimization of Airfoil Using Multi-Objective Genetic Algorithm," Transaction of KSME B, Vol. 29. No. 10, 2005, pp. 1163-1171.
[15] STAR-CD v3.20 Methodology, Computational Dynamics, Co., London. U. K, 2004
[16] K.W. McAlister and R.K. Takahashi, "NACA0015 Wing Pressure and Trailing Vortex Measurements," NASA Technical Paper 3151, November 1991.
[17] K. Dejong, "An Analysis of the Behavior of a Class of Genetic Adaptive Systems," Doctoral Thesis, Department of Computer and Communication Sciences, University of Michigan, Ann Arbor, 1975
[18] J.D. Anderson, Jr, Aircraft Performance and Design, McGraw-Hill, 1999, Chap 2.