Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32729
Coding Structures for Seated Row Simulation 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

Abstract:

Simulation for seated row exercise was a continued task to assist NASA in analyzing a one-dimensional vibration isolation and stabilization system for astronaut’s exercise platform. Feedback delay and signal noise were added to the simulation model. Simulation runs for this study were conducted in two software simulation tools, Trick and MBDyn, software simulation environments developed at the NASA Johnson Space Center. The exciter force in the simulation was calculated from motion capture of an exerciser during a seated aerobic row exercise. The simulation runs include passive control, active control using a Proportional, Integral, Derivative (PID) controller, and active control using a Piecewise Linear Integral Derivative (PWLID) controller. Output parameters include displacements of the exercise platform, the exerciser, and the counterweight; transmitted force to the wall of spacecraft; and actuator force to the platform. The simulation results showed excellent force reduction in the active controlled system compared to the passive controlled system, which showed less force reduction.

Keywords: Simulation, counterweight, exercise, vibration.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 210

References:


[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, August 2005.
[5] L. J. Quiocho, K. Lostroscio, S. Joshi, E. Kovel, K. Vetter, D. Frenkel, C. Bell, L. Nilsson, A. Reeves, “Modeling and Simulation for Exercise Vibration Isolation and Stabilization System Design,” in IEEE Aerospace Conference, pp.1-19, 2023.
[6] 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.
[7] L. J. Quiocho, A. Huynh and E. Z. Crues, "Application of Multibody Dynamics to On-Orbit Manipulator Simulations," in 5th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), ASME DETC 2005-85545, Long Beach, CA, 2005.
[8] J. MacLean, T. Brain, L. Quiocho, A. Huynh and T. Ghosh, "Linked-List-Based Multibody Dynamics (MBDyn) Engine," MSC-24925-1, NASA Tech Briefs, September 2012.
[9] A. Huynh, T. Brain, J. R. MacLean and L. J. Quiocho, "Evolution of Flexible Multibody Dynamics for Simulation Applications Supporting Human Spaceflight," in 12th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), ASME DETC 2016-60108, Charlotte, NC, 2016.
[10] 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.
[11] Photo: Science Photo Library, London W9 3RB. United Kingdom, https://www.sciencephoto.com/media/336689/view
[12] Z.O. Williams, S.B. Lin, F.N. Matari, and L.J. Quiocho, “Simulation for Squat Exercise of an Active Controlled Vibration Isolation and Stabilization System for Astronaut’s Exercise Platform,” International Journal of Aerospace and Mechanical Engineering, Vol. 16, No.10, pp.265-471, 2022.
[13] NASA JSC, Motion Capture Based Forcing Functions from E4D Data Collection, 2019 Available: https://www.danishaerospace.com/en/news/new-danish-space-exercise-machine-completes-testing-at-nasa
[14] Delp, S.L., et al., “OpenSim: Open-source Software to Create and Analyze Dynamic Simulations of Movement”, IEEE Transactions on Biomedical Engineering, 2007.
[15] Seth, A., Hicks J.L., Uchida, T.K., Habib, A., Dembia, C.L., Dunne, J.J., Ong, C.F., DeMers, M.S., Rajagopal, A., Millard, M., Hamner, S.R., Arnold, E.M., Yong, J.R., Lakshmikanth, S.K., Sherman, M.A., Delp, S.L. OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. Plos Computational Biology, 14(7), 2018.
[16] Nasa. “NASA/Koviz: Koviz Is a Trick Simulation Data Plotting, Visualization and Analysis Tool.” GitHub, https://github.com/nasa/koviz.