High-altitude airship propulsion system optimal design and experiment based on energy balance

Wang Dongchen, Song Bifeng, Jiao Jun, Wang Haifeng

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper proposes a propulsion optimization method with the surrogate modeling technique based on the coupling relationship between the propulsion and energy subsystem to achieve high-altitude airship weight reduction and figure out key factors. Propeller and motor surrogate models were constructed based on an inhouse fluid-structure solver and validated by the wind tunnel experiment. Solar intensity variation, solar cell distribution, and energy balance were modeled for the calculation of energy system weight. By minimizing the total weight of propulsion end energy subsystem as the goal and energy balance as the constraint, an optimization architecture was built. And a typical high-altitude airship is optimized as an example. Propulsion design variables were analyzed to figure out the influence on the airship’s overall performance. The results show that introducing energy balance into propulsion system optimal design can effectively reduce the total weight of the propulsion and energy system.

Original languageEnglish
Pages (from-to)3-16
Number of pages14
JournalProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Volume237
Issue number1
DOIs
StatePublished - Jan 2023

Keywords

  • energy balance
  • High-altitude airship
  • optimal design
  • propulsion system
  • surrogate model

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