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Simulation for Squat Exercise of an Active Controlled Vibration Isolation and Stabilization System for Astronaut’s Exercise Platform

Authors: Ziraguen O. Williams, Shield B. Lin, Fouad N. Matari, Leslie J. Quiocho


In a task to assist NASA in analyzing the dynamic forces caused by operational countermeasures of an astronaut’s exercise platform impacting the spacecraft, feedback delay and signal noise were added to a simulation model of an active controlled vibration isolation and stabilization system to regulate the movement of the exercise platform. Two additional simulation tools used in this study were Trick and MBDyn, software simulation environments developed at the NASA Johnson Space Center. Simulation results obtained from these three tools were very similar. All simulation results support the hypothesis that an active controlled vibration isolation and stabilization system outperforms a passive controlled system even with the addition of feedback delay and signal noise to the active controlled system. In this paper, squat exercise was used in creating excited force to the simulation model. The exciter force from squat exercise was calculated from motion capture of an exerciser. The simulation results demonstrate much greater transmitted force reduction in the active controlled system than the passive controlled system.

Keywords: Astronaut, counterweight, stabilization, vibration.

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[1] J.R. Bagley, K.A. Murach, and S.W. Trappe, “Microgravity-Induced Fiber Type Shift in Human Skeletal Muscle.” Gravitational and Space Biology, Volume 26(1), pp. 34-40, May 2012.
[2] Niebuhr, J.H. and Hagen, R.A., “Development of the vibration isolation system for the advanced resistive exercise device.” 2011.
[3] GRODSINSKY, C., and BROWN, G., “Nonintrusive inertial vibration isolation technology for microgravity space experiments,” In 28th Aerospace Sciences Meeting, American Institute of Aeronautics and Astronautics, 1-8.
[4] Yang, B. J., Calise, A., Craig, J., & Whorton, M., “Adaptive control for a microgravity vibration isolation system,” in AIAA guidance, navigation, and control conference and exhibit, American Institute of Aeronautics and Astronautics, 1-19.
[5] Tech Briefs, International Space Station Advanced Resistive Exercise Device (ARED),
[6] MATLAB Simulink, written in C/C++ and Java, is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks.
[7] S.B. Lin and S. Abdali, “Simulation of Active Controlled Vibration Isolation System for Astronaut’s Exercise Platform,” International Journal of Mechanical and Mechatronics Engineering, Vol. 15, No.2, pp.107-112, 2021.
[8] J.M. Penn and A.S. Lin, “The Trick Simulation Toolkit: A NASA/Open source Framework for Running Time Based Physics Models,” in AIAA Modeling and Simulation Technologies Conference, American Institute of Aeronautics and Astronautics, 1-13. 2016.
[9] S. Fennell, “Monte Carlo Tutorial,” GitHub pages public repositories website. May 2019.
[10] Huynh, A., Brain, T.A., MacLean, J.R., and Quiocho, L.J., 2016, “Evolution of Flexible Multibody Dynamics for Simulation Applications Supporting Human Spaceflight”, ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, DETC 2016-60108, Charlotte, NC.
[11] Banner Engineering Corp., “Q4X Stainless Steel Analog Laser Sensor: Instruction manual,” Author, Minneapolis, MN, 2017.
[12] Y. Yang, Y. Zhao, and D. Kang, "Integration on acceleration signals by adjusting with envelopes," Journal of Measurements in Engineering, 4(2), pp. 117-121, Jun 2016.
[13] Toochinda, D., Discrete-time PID Controller Implementation, 2015. Available: