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Comparison of clinostat control strategies to achieve simulated microgravity with uniform gravity vector distribution
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  • Published: 14 February 2026

Comparison of clinostat control strategies to achieve simulated microgravity with uniform gravity vector distribution

  • Yoon Jae Kim1,
  • Sungwoo Park2,3 &
  • Sungwan Kim1,4 

npj Microgravity , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Engineering
  • Physics

Abstract

Experiments conducted onboard the International Space Station help investigate the physiological changes that living organisms undergo in microgravity. On Earth, the two-axis clinostat serves as an alternative that can continuously change the direction of gravity and simulate microgravity conditions by time-averaging the gravity vector. However, its structural characteristics inevitably produce poles where gravity is unevenly concentrated. This study conducted a quantitative analysis and comparison of pole formation across four representative clinostat control strategies. To evaluate the poles, two quantitative indicators were defined. The commonly used control strategies, maintaining a constant angular velocity or following a random distribution, were found to induce severe poles. In contrast, when the angular velocity of the external motor followed a specifically designed reciprocal sinusoidal profile, pole formation could be significantly reduced by adjusting the ratio between the minimum and maximum angular velocities. These trends, identified through simulations, were further validated through experiments using an inertial measurement unit.

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Data availability

These data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. RS-2024-00458826) and by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant No. HI19C1352). It was also supported by Industrial Technology Innovation R&D Program of MOTIE/KEIT (Project No. 25421092), Development of a therapeutic endoscopic system incorporating a motorized autonomously controlled endoscopic scope - featuring over 5,000 cycles of durability, bending capability exceeding 180°, and IPX7 waterproof rating - and an AI-based image processing unit, aimed at localization of endoscopy systems and improving the success rate of endoscopic treatments.

Author information

Authors and Affiliations

  1. Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, Korea

    Yoon Jae Kim & Sungwan Kim

  2. Interdisciplinary Program in Bioengineering, The Graduate School, Seoul National University, Seoul, Korea

    Sungwoo Park

  3. Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, Korea

    Sungwoo Park

  4. Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea

    Sungwan Kim

Authors
  1. Yoon Jae Kim
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  2. Sungwoo Park
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  3. Sungwan Kim
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Contributions

Y.J.K. proposed the indices for pole evaluation, conducted simulations, and drafted the manuscript. S.P. fabricated clinostat hardware, performed IMU-based experiments, and drafted the manuscript. Y.J.K. and S.P. contributed equally to this work. As the corresponding author, S.K. supervised the entire research process and the preparation of the manuscript.

Corresponding author

Correspondence to Sungwan Kim.

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The authors declare no competing interests.

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Kim, Y.J., Park, S. & Kim, S. Comparison of clinostat control strategies to achieve simulated microgravity with uniform gravity vector distribution. npj Microgravity (2026). https://doi.org/10.1038/s41526-026-00570-8

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  • Received: 30 August 2025

  • Accepted: 02 February 2026

  • Published: 14 February 2026

  • DOI: https://doi.org/10.1038/s41526-026-00570-8

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