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Kanika Garg
Onboard Space Systems, Department of Computer Science, Electrical and Space Engineering, LuleƄ University of Technology, 981 28 Kiruna, Sweden

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Journal article
Published: 04 May 2020 in Applied Sciences
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This paper studies the specifications of balloons for the exploration of bodies with different atmospheric conditions. Three types of balloons, i.e., zero-pressure, super-pressure, and over-pressurized, with four different shapes, i.e., sphere, oblate, prolate, and airship, were analysed. First, the development of a simulation tool is described, which was used for analysing the behaviour of balloons for different exploration missions. Next, the developed software was verified by comparing its output with recorded data from a set of flights at the Esrange Space Center. Based on the simulation results, recommendations are given for different balloon types and shapes for operation on Mars, Venus, and Titan.

ACS Style

Kanika Garg; Thomas Kuhn. Balloon Design for Mars, Venus, and Titan Atmospheres. Applied Sciences 2020, 10, 3204 .

AMA Style

Kanika Garg, Thomas Kuhn. Balloon Design for Mars, Venus, and Titan Atmospheres. Applied Sciences. 2020; 10 (9):3204.

Chicago/Turabian Style

Kanika Garg; Thomas Kuhn. 2020. "Balloon Design for Mars, Venus, and Titan Atmospheres." Applied Sciences 10, no. 9: 3204.

Journal article
Published: 01 April 2019 in Advances in Space Research
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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.

ACS Style

Kanika Garg; M. Reza Emami. Balloon ascent prediction: Comparative study of analytical, fuzzy and regression models. Advances in Space Research 2019, 64, 252 -270.

AMA Style

Kanika Garg, M. Reza Emami. Balloon ascent prediction: Comparative study of analytical, fuzzy and regression models. Advances in Space Research. 2019; 64 (1):252-270.

Chicago/Turabian Style

Kanika Garg; M. Reza Emami. 2019. "Balloon ascent prediction: Comparative study of analytical, fuzzy and regression models." Advances in Space Research 64, no. 1: 252-270.