A force sensing resistor (FSR) is a conductive polymer that changes resistance with the application of pressure at its surface. FSR can be used for tactile applications. In this work, the use of FSR to measure the fingertip force within an electronic Braille reading device is considered. To achieve this goal, an experimental procedure to test the FSR’s response is proposed. In this experiment, the FSR is placed between a linear actuator and a load cell. The linear actuator generates different loading profiles to mimic various tactile forces. Identification process starts by applying static loadings at the FSR’s surface. These loads are used to calibrate the FSR and study its time drift. In the next phase of the process, an up-chirp signal is used to identify the dynamics of the FSR. The resulting data are modeled using system identification techniques to obtain possible dynamic models for the FSR. Both linear and nonlinear models are proposed. The linear model is compared to Hammerstein, Wiener, and Hammerstein-Wiener nonlinear models. The accuracy and robustness of the four models are assessed using various loading profiles. Numerical criteria are developed to compare these models with respect to the experimental results.
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ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 18–21, 2011
Scottsdale, Arizona, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5472-3
PROCEEDINGS PAPER
Identification of a Force Sensing Resistor for Tactile Applications
Mohammad Y. Saadeh,
Mohammad Y. Saadeh
University of Nevada, Las Vegas, Las Vegas, NV
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Mohamed B. Trabia
Mohamed B. Trabia
University of Nevada, Las Vegas, Las Vegas, NV
Search for other works by this author on:
Mohammad Y. Saadeh
University of Nevada, Las Vegas, Las Vegas, NV
Mohamed B. Trabia
University of Nevada, Las Vegas, Las Vegas, NV
Paper No:
SMASIS2011-5133, pp. 315-324; 10 pages
Published Online:
February 7, 2012
Citation
Saadeh, MY, & Trabia, MB. "Identification of a Force Sensing Resistor for Tactile Applications." Proceedings of the ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2. Scottsdale, Arizona, USA. September 18–21, 2011. pp. 315-324. ASME. https://doi.org/10.1115/SMASIS2011-5133
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