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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (2): 221299-221299.doi: 10.7527/S1000-6893.2017.21299

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Sorting method for design specifications of solar powered UAV based on FQFD

ZHOU Wei1,2, LI Sai1, WANG Xueren1, XIE Fei1   

  1. 1. Power Engineering Department, Rocket Force University of Engineering, Xi'an 710025, China;
    2. Science and Technology on Aerospace Flight Dynamics Laboratory, School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2017-04-05 Revised:2017-12-25 Online:2018-02-15 Published:2018-02-11
  • Supported by:
    Provincial/Ministerial Level Project

Abstract: To solve the problem existing in the preliminary design of the solar powered Unmanned Aerial Vehicle (UAV), such as uncertainty of task demands and difficulty in importance-sorting of technical specifications, a sorting method is proposed for designing specifications of the solar powered UAV based on Fuzzy Quality Function Deployment (FQFD). On the basis of the traditional Quality Function Deployment (QFD) house of quality, the method introduces the triangular fuzzy number to characterize the uncertainty and fuzziness of the task demand. On the condition that the fuzzy number membership function for the importance of technical characteristics is not explicitly known, the importance level of technical specifications is defuzzified by averaging level α-cut set. Importance-sorting of technical specifications is realized to provide reference for the preliminary design decision. For the preliminary design of the long-haul solar powered UAV, the two-level house of quality model for the task demand-engineering characteristics-technical specifications is analyzed. The result indicates that the five most important technical specifications are flight endurance, cruise height, powered system efficiency, cruise speed and aerodynamic efficiency. Compared with traditional methods, the method proposed can handle more complex system uncertainty with better objectivity, providing reference for the preliminary design and decision making of the solar powered UAV.

Key words: solar powered Unmanned Aerial Vehicle (UAV), Fuzzy Quality Function Deployment (FQFD), triangular fuzzy number, α-cut, preliminary design specifications, sorting

CLC Number: