JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
Online ISSN : 2432-3691
Print ISSN : 1344-6460
ISSN-L : 1344-6460
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Displaying 1-3 of 3 articles from this issue
Paper
  • Toshihiro Obata, Shinichi Nakasuka
    2026Volume 74Issue 4 Pages 111-121
    Published: 2026
    Released on J-STAGE: August 05, 2026
    JOURNAL RESTRICTED ACCESS

    In the first report, we reported the design of the satellite behavior based on the resilience evaluations are more adequate rather than the one based on the reliability. We also reported the Reset function effectiveness that is well-used on the small satellite. In this paper, we present rules to design satellite state transitions from the resilience point of views, and show verification results of them. Finally, we show different rules are adequate for different design objectives.

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  • Hidenori Shingin, Masato Sueyoshi, Kakuji Ogawara, Ryota Kawahara, Kak ...
    2026Volume 74Issue 4 Pages 122-125
    Published: 2026
    Released on J-STAGE: August 05, 2026
    JOURNAL RESTRICTED ACCESS

    This paper investigates feedback temperature control employing plasma synthetic jet actuator (PSJA) to evaluate the efficacy of manipulating the duty cycle of the applied voltage waveform. PSJA induces airflow directed toward point heat sources mounted on the surface of a vertical plate, thereby enhancing heat transfer to the surrounding air. The heat source temperature is regulated by a PID controller that dynamically adjusts the duty rate. An open-loop experiment is performed to find the operational range where the temperature decrease exhibits a linear dependence on the duty rate. Within this range, the closed-loop system demonstrates desirable tracking performance.

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  • Shotaro Hamato, Seiji Tsutsumi
    2026Volume 74Issue 4 Pages 126-135
    Published: 2026
    Released on J-STAGE: August 05, 2026
    JOURNAL RESTRICTED ACCESS

    This study explores the applicability of Global Sensitivity Analysis (GSA) methods to practical engineering applications in terms of computational cost and accuracy. We focus on four GSA methods: (1) ANalysis Of VAriance (ANOVA) based on an orthogonal-array in a Design of Experiment (DoE), (2) the Morris method, (3) a Monte Carlo (MC)-based Sobol' method, and (4) a Polynomial Chaos Expansion (PCE)-based Sobol' method. The test cases are the Ishigami function, which exhibits strong nonlinearity and interaction effects, and a 1D-CAE model of a laboratory-scale experimental system that represents a spacecraft propulsion system. The ANOVA approach is suitable for identifying the most influential variable with lower computational costs. The Morris method and PCE-Sobol' method allow one to prioritize the variables by influence with moderate computational costs on the order of 102 model evaluations. The PCE-Sobol' method is suitable to find the insignificant variables. This study provides practical guidelines for applying GSA in practical engineering applications.

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