نویسندگان
صنعتی مالک اشتر
چکیده
کلیدواژهها
عنوان مقاله [English]
In this paper, a comprehensive structure is expressed for multidisciplinary design optimization of the unmanned air vehicle and the design optimization of Predator MQ-1 has been studied for validation. The considered modules in the multidisciplinary analysis are performance, aerodynamic, weight, center of gravity, stability and control derivatives, trim and dynamic stability characteristics. The minimization of take-off weight and cruise drag are considered as objective functions. Since two objective functions are considered, therefore multi-objective genetic algorithm (with the non-dominated sorting concept) is used as optimizer which can generate set of optimal solutions as Pareto fronts. A method based on fuzzy logic named satisfaction degree function is expressed for final solution selection. The strengths of this paper are its comprehensiveness (the number of design modules, the number of design variables and constraints) and the presentation of a simple and efficient method for final solution selection. The optimization results show the effectiveness of the structured framework and suggested method.
کلیدواژهها [English]
10. Nguyen, N.V., Choi, S.M., Kim, W.W., Lee, J.W., Kim, S., Neufeld, D., and Byun, Y.H. “Multidisciplinary Unmanned Combat Air Vehicle System Design using Multi-fidelity Model”, Aero. Sci. Tech, Vol. 26, No. 1 pp. 200-210, 2013.##
11. Roshanian, J., Bataleblu, A.A., Farghadani, M.H., and Ebrahimi, B. “Multi-Objective Multidisciplinary Design Optimization of a General Aviation Aircraft”, Modares Mechanical Engineering, Vol. 17, No. 2, pp. 199-210, 2017. (In Persian)##
12. Nguyen, N.V., Neufeld, D., Kim, S., and Lee, J.W. “Multidisciplinary Configuration Design Optimization for Advanced Very Light Aircraft”; KSAS. Int. Conf. Seoul, South Korea, 2011.##
13. Batill, S.M., Stelmack, M.A., and Yu, X.Q. “Multidisciplinary Design Optimization of an Electric-Powered Unmanned Air Vehicle”, Aircraft. Des, Vol. 2, pp. 1-18, 1999.##
14. Rajagopal, S., and Ganguli, R. “Multidisiciplinary Design Optimization of a UAV Wing using Kriging based Multi-Objective Genetic Algorithm”; MSDM. Int. Conf. California, USA, 2009.##
15. Papageorgion, A. “Development of a Multidisciplinary Design Optimization Framework Applied in UAV Design”, Msc Thesis, Linkoping University, Faculty of Management and Engineering, 2015.##
16. Morrisey, B.J. “Multidisciplinary Design Optimization of an Extreme Aspect Ratio HALE UAV”, Msc Thesis, California Polytechnic State University, Faculty of Aerospace Engineering, 2009.##
17. Babaei, A.R., and Setayandeh, S.M.R. “Constrained Optimization of an Commercial Aircraft Wing using Non-dominated Sorting Genetic Algorithm”, Int. J. Adv. Des. Manuf. Tech, Vol. 8, No. 4, pp. 51-61, 2015.##
18. Anderson, J. “Aircraftd Performance and Design”, McGraw-Hill Companies, New York, United States 1999.##
19. Sadraey, M.H., “Aircraft Design: A System Engineering Approach”, John Wiley & Sons Publication, New Hampshire, USA, 2013.##
20. Schemensky, R.T. “Development of an Empirical Based Computer Program to Predict the Aerodynamic Characteristics of Aircraft- Empirical Methods”, Air Force Flight Dynamics Laboratory, Report No.: AD-780100, Texas, USA, 1973.##
21. Roskam, J. “Airplane Flight Dynamics and Automatic Flight Controls”, Roskam Aviation and Engineering Corporation, Kansas, USA, 1982.##
22. Mirzaali, H., Karimi, J., and Shahi-Ashtiani, M.A. “Multi Objective Constrained Optimization of Aerial Robot Mission Profile”, Aerospace Mechanics Journal, Vol. 14, No. 4, pp. 91-100, 2017. (In Persian)##
23. Kalyanmoy, D., Pratap, A., Agarwal, S., and Meyarivan, T. “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-2”, IEEE. Trans. Evol. Comput,Vol. 6, No. 2, pp. 182-197, 2002.##
)
