Development of a computational model for astronaut reorientation.

The ability to model astronaut reorientations computationally provides a simple way to develop and study human motion control strategies. Since the cost of experimenting in microgravity is high, and underwater training can lead to motions inappropriate for microgravity, these techniques allow for motions to be developed and well-understood prior to any microgravity exposure. By including a model of the current space suit, we have the ability to study both intravehicular and extravehicular activities. We present several techniques for rotating about the axes of the body and show that motions performed by the legs create a greater net rotation than those performed by the arms. Adding a space suit to the motions was seen to increase the resistance torque and limit the available range of motion. While rotations about the body axes can be performed in the current space suit, the resulting motions generated a reduced rotation when compared to the unsuited configuration.

[1]  S. Shankar Sastry,et al.  On reorienting linked rigid bodies using internal motions , 1995, IEEE Trans. Robotics Autom..

[2]  P. Krishnaprasad,et al.  Nonholonomic mechanical systems with symmetry , 1996 .

[3]  Jeffrey Fernandez,et al.  Normative data on joint ranges of motion of 25- to 54-year-old males , 1993 .

[4]  Karen Willcox,et al.  Self-rotations in simulated microgravity: performance effects of strategy training. , 2009, Aviation, space, and environmental medicine.

[5]  Ann L. Frazer Modeling human-spacesuit interactions , 2003 .

[6]  D J Newman,et al.  Astronaut-induced disturbances to the microgravity environment of the Mir Space Station. , 2001, Journal of spacecraft and rockets.

[7]  Steven Dubowsky,et al.  The kinematics, dynamics, and control of free-flying and free-floating space robotic systems , 1993, IEEE Trans. Robotics Autom..

[8]  Isaak P. Abramov,et al.  Essential Aspects of Space Suit Operating Pressure Trade-Off , 1994 .

[9]  Shrawan Kumar Isolated planar trunk strengths measurement in normals: Part III — Results and database , 1996 .

[10]  F.E. Zajac,et al.  An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures , 1990, IEEE Transactions on Biomedical Engineering.

[11]  C. Frohlich The physics of somersaulting and twisting. , 1980, Scientific American.

[12]  Louise A. Obergefell,et al.  Generator of Body Data (GEBOD) , Manual. , 1994 .

[13]  M. Yeadon The simulation of aerial movement--II. A mathematical inertia model of the human body. , 1990, Journal of biomechanics.

[14]  Robert Playter,et al.  Passive Dynamics in the Control of Gymnastic Maneuvers , 1995 .

[15]  Gary L. Harris,et al.  The origins and technology of the advanced extravehicular space suit , 2001 .

[16]  P. B. Schmidt,et al.  An investigation of space suit mobility with applications to EVA operations , 2001 .

[17]  Philip V. Kulwicki,et al.  WEIGHTLESS MAN: SELF-ROTATION TECHNIQUES , 1962 .

[18]  Jeffrey A. Hoffman,et al.  Modeling and Testing of a Mechanical Counterpressure Bio-Suit System , 2007 .

[19]  J. Y. S. Luh,et al.  On-Line Computational Scheme for Mechanical Manipulators , 1980 .

[20]  Thomas R. Kane,et al.  Three-dimensional reorientation of a system of interconnected rigid bodies , 1994 .

[21]  Scott L. Delp,et al.  A Model of the Upper Extremity for Simulating Musculoskeletal Surgery and Analyzing Neuromuscular Control , 2005, Annals of Biomedical Engineering.

[22]  S. Azen,et al.  Normal range of motion of joints in male subjects. , 1979, The Journal of bone and joint surgery. American volume.