English Abstract
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The purpose of this study is the use of an unmanned aerial vehicle to conduct diving-airdrop missions, especially in dangerous situations or terrains that are difficult for humans to work in. There are many examples of practical applications of airdrops, such as in general civil use, military applications or humanitarian relief operations, and the use of unmanned aircraft to perform airdrops can reduce manpower and resource demands. This thesis both examines diving-airdrops and conducts actual airdrops in level flight for comparison purposes. In order to simplify the impact of the payload on the experimental results, we choose an object with a smooth and homogeneous surface, a billiard ball as our experimental payload. Furthermore, we ignore the effects of the lateral force on the billiard ball during the experiment, so we can simplify the 3D projectile motion to 2D projectile motion. This thesis uses the center of gravity (C.G.) of the aircraft as the origin of the body coordinate system, in which resistance affects the projectile motion in the X-axis direction and gravity affects it in the Z-axis direction. We modify the Spoonbill unmanned aerial vehicle (Spoonbill-100) to perform the diving-drop experiment. For hardware, we update the avionics systems as well as replace the two-stoke glow engine with a two-stoke gasoline engine. For convenience, we design an airdrop box to carry the payload. For software, we establish a hardware-in-the-loop simulation environment and design a controller that can control the velocity, altitude and heading, and the controller is based on the principles of fuzzy control. The computer uses the air data to calculate the throw distance in the X-axis direction during the airdrop, and applies GPS to identify the position of the Spoonbill-100 unmanned aerial vehicle and the distance between this and the target. Therefore, the computer can determine the appropriate timing to complete the airdrop mission. Finally, we compare the results of the hardware-in-the-loop simulation and experiments to analyze and discuss the feasibility of using an unmanned aerial vehicle to conduct airdrop missions, as proposed in the current work.
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Reference
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2. Cheng, Y. S. (2009) A Study On Airdrop Applicability Of Unmanned Aerial Vehicle, National Cheng Kung University, Tainan, Taiwan.
連結:
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3. Lee, C. S., Chan, W. L., Jan, S. S., and Hsiao, F. B., “A Linear-Quadratic-Gaussian Approach for Automatic Flight Control of Fixed-wing Unmanned Air Vehicles, Aeronautical Journal, Vol. 115, No. 1163, January 2011, pp. 29-41.
連結:
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5. Ding, Y. R., Lai, Y. C., Lin, C. H., Teng, Y., Huang, Y. H., Chen, S. W., and Hsiao,F. B., “The Development of the Fuzzy Logic Navigation and Control System for a Small UAV, 2010 AASRC Conference, Taoyuan, Taiwan R.O.C., 4 December 2010.
連結:
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7. Chang-Chien C. L. (2013) A Study of Airdrop Application on Unmanned Aerial Vehicle, National Cheng Kung University, Tainan, Taiwan.
連結:
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8. Boura, D., Hajicek, D., Semke, W., “Automated Air Drop System for Search and Rescue Applications Utilizing Unmanned Aircraft Systems”, Infotech@Aerospace, St. Louis, Missouri, 29-31 March 2011.
連結:
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1. Hsiao, F. B., Lai, Y. C., Tenn, H. K., Hsieh, S. Y., Chen, C. C., Chan, W. L., “The Development of an Unmanned Aerial Vehicle System with Surveillance, Watch, Autonomous Flight and Navigation Capability, Proceedings of the 21st Bristol UAV Systems Conference, Bristol, U. K., 3-5 April 2006.
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4. Ding, Y. R., Liu, Y. C., Lin, C. H., Tseng, L. C., Teng, Y., and Hsiao, F. B., “The Design of Small UAV with Formation Flight Capability, 2009 AASRC/CSCA Joint Conference, Taipei, Taiwan R.O.C., 12 December 2009.
-
6. Ding, Y. R., Chen, Y. H., Sun, C. H., and Hsiao, F. B., “The implementation of autonomous formation flight capability to a small unmanned aerial vehicle system based on fuzzy logic control”, Journal of Aeronautics, Astronautics and Aviation, Vol. 43, No. 4, pp. 301-312, 2011.
-
9. Ding, Y. R., Chen, Y. H., Sun, C. H., and Hsiao, F. B., “The implementation of autonomous formation flight capability to a small unmanned aerial vehicle system based on fuzzy logic control”, Journal of Aeronautics, Astronautics and Aviation, Vol. 43, No. 4, pp. 301-312, 2011Cai G. W., Chen B. M., Lee T. H., Unmanned Rotorcraft Systems (1st ed), Berlin: Springer Science & Business Media
-
10. Stevens B. L., Lewis F. L., Aircraft Control And Simulation (2nd ed) Hoboken, New Jersey: John Wiley & Sons, Inc.
-
11. Air density calculator, from website http://www.denysschen.com/catalogue/density.aspx
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12. Crowe C. T., Elger D. F., Williams B. C., Roberson J. A., Engineering fluid mechanics (9th ed), Hoboken, New Jersey: John Wiley & Sons, Inc.
-
13. The research of drag of a sphere by NASA, from website http://www.grc.nasa.gov/WWW/k-12/airplane/dragsphere.html
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