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Autonomous airships have gained a high degree of importance over the last decades, both theoretically as well and practically. This is due to their long endurance capability needed for monitoring, observation and communication missions. In this paper, a Multi-Objective Optimization approach (MOO) is followed for conceptual design of an airship taking aerody- namic drag, static stability, performance as well as the production cost that is proportional to the helium mass and the hull surface area, into account. Optimal interaction of the afo- rementioned disciplinary objectives is desirable and focused through the MOO analysis. Standard airship configurations are categorized into three major components that include the main body (hull), stabilizers (elevators and rudders) and gondola. Naturally, component sizing and positioning play an important role in the overall static stability and performance characteristics of the airship. The most important consequence of MOO analysis is that the resulting design not only meets the mission requirement, but will also be volumetrically optimal while having a desirable static and performance characteristics. The results of this paper are partly validated in the design and construction of a domestic unmanned airship indicating a good potential for the proposed approach.
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47--60
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Bibliogr. 12 poz., rys., tab.
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autor
- Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
autor
- Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
autor
- Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Bibliografia
- 1. An W., Li W., Wang H., 2007. Multi objective optimization design of envelop shape of a certain airship with deviation considered, Journal of Northwestern Polytechnical University, 25, 1, 56-60
- 2. Censor Y., 1977, Pareto optimality in multiobjective problems, Applied Mathematics and Optmization, 4, 41-59
- 3. Datcom+Pro version 3.0, http://www.holycows.net/datcom/
- 4. Lutz T., Wagner S., 1998, Drag reduction and shape optimization of airship bodies, Journal of Aircraft, 35, 3, 345-351
- 5. Miller F.P., Vandame A.F., McBrewster J., 2010, Genetic Algorithm, VDM Verlag Dr. Mueller E.K., ISBN: 6130211791, 9786130211790
- 6. Mueller J.B., Paluszek M.A., Zhao Y., 2004, Development of an aerodynamic model and control law design for a high altitude airship, AIAA 3rd “Unmanned Unlimited” Technical Conference, Workshop and Exhibit 20-23 September 2004, Chicago, Illinois
- 7. Nejati V., Matsuuchi K., 2003, Aerodynamic design and genetic algorithms for optimization of airship bodies, JSME International Journal, Series B: Fluids and Thermal Engineering, 46, 4, 610-617, doi:10.1299/jsmeb.46.610
- 8. Shampine L.F., Reichelt M.W., 1997. The MATLAB ODE Suite, SIAM Journal on Scientific Computing, 18, 1, 1-22
- 9. Wang H., Song B., Zhong X., 2011, Configuration design and sizing optimization of a winged airship, International Conference on Network Computing and Information Security, 2, 41-45
- 10. Wang Q.-B., Chen J.-A., Fu G.-Y., Duan D.-P., 2009. An approach for shape optimization of stratosphere airships based on multi disciplinary design optimization, Journal of Zhejiang University, Science A, 10, 11, 1609-1616
- 11. Wang X.L., Shan X.X., 2006, Shape optimization of stratosphere airship, Journal of Aircraft, 43, 1, 283-287
- 12. www.web-formulas.com/Math-Formulas/Geometry Surface of Ellipsoid.aspx
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Bibliografia
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