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Balloon Ascent Prediction: Comparative Study of Analytical, Fuzzy and Regression Models
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0003-4977-6339
2019 (English)In: Advances in Space Research, ISSN 0273-1177, E-ISSN 1879-1948, Vol. 64, no 1, p. 252-270Article in journal (Refereed) Published
Abstract [en]

The ascent prediction of high-altitude zero-pressure stratospheric balloons is an important aspect of targeted test flight. Prediction of the balloon ascent rate is the prerequisite for many of the flights as it helps in planning ballasting and valving manoeuvres. In this paper, a standard analytical model, a fuzzy model and a statistical regression model are developed and compared to predict the zero-pressure balloon ascent. The flight data is extracted from the Esrange balloon service system for zero-pressure balloons with different payload capability, and several potential explanatory variables are computed for every sampled climbed segment. For the fuzzy modelling approach, a fuzzy c-mean clustering algorithm is used for system identification and prediction. For the regression approach, a Gaussian process regression is used, and principal component analysis is applied for finding the significant inputs. The result shows that the data driven approaches are more efficient than the standard analytical model.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 64, no 1, p. 252-270
Keywords [en]
Stratospheric balloon, Analytical model, Fuzzy model, Clustering, Regression model, Gaussian process regression
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Onboard space systems
Identifiers
URN: urn:nbn:se:ltu:diva-73398DOI: 10.1016/j.asr.2019.03.035ISI: 000472126800019OAI: oai:DiVA.org:ltu-73398DiVA, id: diva2:1301858
Note

Validerad;2019;Nivå 2;2019-07-10 (johcin)

Available from: 2019-04-03 Created: 2019-04-03 Last updated: 2019-07-10Bibliographically approved

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Garg, KanikaEmami, Reza

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CiteExportLink to record
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  • apa
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  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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