Analysis of propulsion and energy system'sinfluence on the performance of high altitude airship

Shengqi Chen, Bifeng Song, Haifeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Performance of subsystems have profound effect on the overall performance of the High Altitude Airship (HAA). Detail analysis of subsystems needs to be carried out in order to reduce the overall length of the HAA. Optimization model is obtained with the minimum length of HAA as objective. Afterwards, aerodynamic subsystem is analyzed and the optimum envelop shape is obtained so that the volumetric drag of the HAA is minimum. In addition, working time and location of HAA are obtained regarding the energy system. And then, surrogate model of the propulsion system is established with the help of Design of Experiment (DOE) methods and Response Surface Method (RSM). Finally, optimization result is obtained by Multi-Island Genetic Algorithm (MIGA). Furthermore, sensitivity analysis of each subsystem is proceeded so as to find ways to help reduce the overall size of the traditional HAA. In addition, technical suggestions are given to improve the technical indexes of these subsystems in order to reduce the length of HAA.

Original languageEnglish
Title of host publication29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)3932182804
StatePublished - 2014
Event29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014 - St. Petersburg, Russian Federation
Duration: 7 Sep 201412 Sep 2014

Publication series

Name29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014

Conference

Conference29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014
Country/TerritoryRussian Federation
CitySt. Petersburg
Period7/09/1412/09/14

Keywords

  • Energy system
  • High altitude airship
  • Propeller propulsion system
  • Sensitivity analysis
  • Surrogate model

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