Balance of emulated MDOF human postural systems

Abstract The analytical understanding and applications of human postural balance could possibly be extended to understand the postural sway. On the basis of a human body model with nine segments and articulations at the neck, waist, hip, knee, and ankle, a two-stage feedback control law to remain the human body’s upright posture subjected to the subjective verticals is developed. The movement equations for a 24 DOFs body model are determined first. A hybrid control law is then developed for balancing. For the controller, the primary part is designed to track the desired reference trajectory, and the secondary part is developed to compensate for the influences due to modeling uncertainties and external disturbances. The results developed herein are to be served as a basis for stance posture control of bionic robots or motion-aid robots.

[1]  Jelte E. Bos,et al.  Theoretical considerations on canal–otolith interaction and an observer model , 2002, Biological Cybernetics.

[2]  Chun-Liang Lin,et al.  Stabilizing postural control for emulated human balancing systems , 2008 .

[3]  R. Mayne,et al.  A Systems Concept of the Vestibular Organs , 1974 .

[4]  Vladimir M. Zatsiorsky,et al.  The Mass and Inertia Characteristics of the Main Segments of the Human Body , 1983 .

[5]  Laci Jalics,et al.  Dynamics, Stability, and Control of Stepping , 2004, Annals of Biomedical Engineering.

[6]  Ching-Hua Chiu,et al.  The Preliminary Study of Optimal Planning for Front Chin-ups , 2005 .

[7]  Andrew A. Goldenberg,et al.  Robust control of robot manipulators incorporating motor dynamics , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[8]  Frank L. Lewis,et al.  Control of Robot Manipulators , 1993 .

[9]  M. Sanders Handbook of Sensory Physiology , 1975 .

[10]  D. G. Kamper,et al.  Use of a Novel Robotic Interface to Study Finger Motor Control , 2010, Annals of Biomedical Engineering.

[11]  C. S. G. Lee,et al.  Robotics: Control, Sensing, Vision, and Intelligence , 1987 .

[12]  Scott L. Delp,et al.  A Model of the Lower Limb for Analysis of Human Movement , 2010, Annals of Biomedical Engineering.

[13]  Thomas Rosemeier,et al.  Interaction of vestibular, somatosensory and visual signals for postural control and motion perception under terrestrial and microgravity conditions—a conceptual model , 1998, Brain Research Reviews.

[14]  Jongsang Son,et al.  The Balance Recovery Mechanisms Against Unexpected Forward Perturbation , 2009, Annals of Biomedical Engineering.

[15]  S. Niku Introduction to Robotics: Analysis, Systems, Applications , 2001 .

[16]  H. Hatze Optimization of Human Motions , 1973 .

[17]  Frank L. Lewis,et al.  Optimal Control , 1986 .

[18]  C. Laschi,et al.  Biomechanical Modeling of Semicircular Canals for Fabricating a Biomimetic Vestibular System , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  Tim Kiemel,et al.  Multisensory information for human postural control: integrating touch and vision , 2000, Experimental Brain Research.