Simulation with Uncertainties of Active Controlled Vibration Isolation System for Astronaut’s Exercise Platform

In a task to assist NASA in analyzing the dynamic forces caused by operational countermeasures of an astronaut’s exercise platform impacting the spacecraft, an active proportional-integral-derivative controller commanding a linear actuator is proposed in a vibration isolation system to regulate the movement of the exercise platform. Computer simulation shows promising results that most exciter forces can be reduced or even eliminated. This paper emphasizes on parameter uncertainties, variations and exciter force variations. Drift and variations of system parameters in the vibration isolation system for astronaut’s exercise platform are analyzed. An active controlled scheme is applied with the goals to reduce the platform displacement and to minimize the force being transmitted to the spacecraft structure. The controller must be robust enough to accommodate the wide variations of system parameters and exciter forces. Computer simulation for the vibration isolation system was performed via MATLAB/Simulink and Trick. The simulation results demonstrate the achievement of force reduction with small platform displacement under wide ranges of variations in system parameters. 

• Shield B. Lin
• Ziraguen O. Williams

• control
• counterweight
• isolation
• vibration

[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, April 2012.
[2] A. Hawkey, “The Importance of Exercising in Space,” Interdisciplinary Science Reviews, 28:2, 130-138, 2003.
[3] A.J. Calise, J.I. Craig, and B-J Yang, “Adaptive Control for a Microgravity Vibration Isolation System,” Finial report, NASA Marshall Space Flight Center, Huntsville, AL, March 2006.
[4] C. Grodsinsky and G. Brown, “Nonintrusive Inertial Vibration Isolation Technology for Microgravity Space Experiments,” Aerospace Research Central, AIAA-90-0741, August 2012.
[5] V.C. Nguyen, “A Method to Determine the Optimal Parameters for PID Controller,” International Journal of Engineering and Applied Sciences, Volume-6, Issue-1, January 2019.
[6] M. Pabst, M. Darnieder, and R. Theska, “Measuring and Adjusting the Stiffness and Tilt Sensitivity of a Novel 2D Monolithic High Precision Electromagnetic Force Compensated Weighing Cell,” NCSL International Workshop & Symposium, Cleveland, Ohio, August 2019.
[7] A.C. Ihedioha and A.M. Anyanwu, “Implementation of an Elevator’s Position-Controlled Electric Drive,” International Journal of Trend in Research and Development, Volume 3(5), September 2016.
[8] K. Karaman, Y.T. Bekaroglu, M.T. Soylemez, K. Ucak, and G.O. Gunel, “Controlling 3-DOF Helicopter via Fuzzy PID Controller,” International Conference on Electrical and Electronics Engineering, Bursa, Turkey, November 2015.
[9] 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.
[10] D. Montone, “Understanding DC Motor Curves and Temperature,” PITTMAN Motors/AMETEK Precision Motion Control, November 2013.
[11] I. Garniwa, et al, “Analysis of the Effect of the Motor Temperature to Brushless Direct Current Motor Performance on KARLING Electric Vehicle,” 2019 Journal of Physics: Conference Series 1376 012024.
[12] N. Chuang, T. Gale, R. Langman, “Measuring Inductances on a DC Motor,” School of Engineering, University of Tasmania, Hobart, Tasmania, Australia.
[13] D. Bruijnen, R. van de Molengraft, and M. Steinbuch, “Optimization Aided Loop Shaping for Motion Systems,”2006 IEEE Conference on Computer Aided Control System Design.
[14] “Control Systems – Loopshaping” MIT Open Course Ware, http://ocw.mit.edu, 2.017J Design of Electromechanical Robotic Systems Fall 2009.
[15] J.M. Penn and A.S. Lin, “The Trick Simulation Toolkit: A NASA/Open source Framework for Running Time Based Physics Models,” AIAA SciTech Forum, January 1, 2016.
[16] S. Fennell, “Monte Carlo Tutorial,” GitHub pages public repositories website, May 16, 2019.