An original sliding mode controller is designed, based on an existing mathematical model for response control of the human vestibular system. The human vestibular system is located in the inner ear and significantly contributes to the functions of detecting head motion, maintaining balance and posture, and realizing gaze stabilization. The vestibular system sends signals to the brain to tell it how the head and body are moving, and the brain reacts by changing eye position accordingly. The nonlinearities of the vestibular system are not completely understood. The biggest nonlinearity is the nystagmus, a bouncing of the eyes to compensate for quick head movement. Another nonlinearity is that the quick phase does not start until head movement reaches a certain frequency. Considering these nonlinearities as well as the uncertainties of the system, sliding mode control a good choice for controlling the system. Several mathematical models of the human vestibular system are considered for use in the control design. The best model of those considered is chosen based on the models’ consideration of nonlinearities and their levels of complexity. The mathematical model used in this paper is a nonlinear transfer function. The output is controlled with a robust sliding mode controller. Results demonstrate the need to increase control parameters as frequency of the sinusoidal input increases to minimize overshoot error. However, since the human head cannot tolerate an infinitely large frequency input, control parameters also will necessarily be limited. Therefore, results show that the designed sliding mode robust controller is an effective mechanism for controlling the mathematical model of the human vestibular system.
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ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 19–21, 2012
Stone Mountain, Georgia, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4509-7
PROCEEDINGS PAPER
Sliding Mode Control of the Human Vestibular System
Rachael McCarty,
Rachael McCarty
The University of Alabama, Tuscaloosa, AL
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S. Nima Mahmoodi,
S. Nima Mahmoodi
The University of Alabama, Tuscaloosa, AL
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Keith Williams
Keith Williams
The University of Alabama, Tuscaloosa, AL
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Rachael McCarty
The University of Alabama, Tuscaloosa, AL
S. Nima Mahmoodi
The University of Alabama, Tuscaloosa, AL
Keith Williams
The University of Alabama, Tuscaloosa, AL
Paper No:
SMASIS2012-7988, pp. 383-390; 8 pages
Published Online:
July 24, 2013
Citation
McCarty, R, Mahmoodi, SN, & Williams, K. "Sliding Mode Control of the Human Vestibular System." Proceedings of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring. Stone Mountain, Georgia, USA. September 19–21, 2012. pp. 383-390. ASME. https://doi.org/10.1115/SMASIS2012-7988
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