Multi-Objective Optimization Design of An Airship's Configuration

The paper mainly discusses the configuration design from aerodynamic, structural, and control perspectives, including multi-objective optimization of aerodynamic characteristics and structure weight. Further, the paper also gives the control system model to show the tracking trajectory. First, in order to minimize drag and structural weight of the airship, the airship envelope shape is optimized using genetic algorithm from the perspective of aerodynamic and structural subjects. Second, based on the former multi-objective optimization, the kinematics model and the 3-DOF dynamic model of the airship, a control system model is established to bring the airship to the original position. Then, the shape of airship whose tracking time is shortest is selected as the best one. The results of this paper will provide academic support to the configuration design and station-keeping control of the stratospheric airship.

• Record URL:
  • https://doi.org/10.1061/9780784413159.396
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413159
• Supplemental Notes:
  • © 2013 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Hu, Huanran
  • Liu, Gang
  • Hong, Guanxin
• Conference:
  • Fourth International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2013-10-19 to 2013-10-20
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2722-2728
• Monograph Title: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation

Subject/Index Terms

• TRT Terms: Aerodynamics; Airships; Algorithms; Design; Drag; Optimization; Weight
• Subject Areas: Aviation; Design; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01520218
• Record Type: Publication
• ISBN: 9780784413159
• Files: TRIS, ASCE
• Created Date: Mar 27 2014 12:33PM