Shape memory polymers (SMPs) can recover their original shape under external stimulus such as light, heat, pH, humidity, and electric power. However, the applications of SMPs are limited by the number of shapes they can memorize and whether or not these shapes can be precisely and repeatedly controlled. Although a vision based PID controller has been shown by the authors to be capable of controlling the deflection angle of a SMP structure, the repeatability and precision are still low. In order to enhance the robustness and repeatability of the SMP shape control system, in this paper, the macro-scale behavior model of the SMP structure from the control perspective is proposed and the unknown parameters are identified using real-time vision, temperature, and resistance signals.
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ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 16–18, 2013
Snowbird, Utah, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5603-1
PROCEEDINGS PAPER
Modeling of Conductive Shape Memory Polymer Nanocomposites Based Structure From a Control Perspective Available to Purchase
He Shen,
He Shen
University of Central Florida, Orlando, FL
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Yunjun Xu,
Yunjun Xu
University of Central Florida, Orlando, FL
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Fei Liang,
Fei Liang
University of Central Florida, Orlando, FL
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Jihua Gou,
Jihua Gou
University of Central Florida, Orlando, FL
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Bob Mabbott
Bob Mabbott
HB Polymer Company, Sarasota, FL
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He Shen
University of Central Florida, Orlando, FL
Yunjun Xu
University of Central Florida, Orlando, FL
Fei Liang
University of Central Florida, Orlando, FL
Jihua Gou
University of Central Florida, Orlando, FL
Bob Mabbott
HB Polymer Company, Sarasota, FL
Paper No:
SMASIS2013-3129, V001T03A025; 6 pages
Published Online:
February 20, 2014
Citation
Shen, H, Xu, Y, Liang, F, Gou, J, & Mabbott, B. "Modeling of Conductive Shape Memory Polymer Nanocomposites Based Structure From a Control Perspective." Proceedings of the ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation. Snowbird, Utah, USA. September 16–18, 2013. V001T03A025. ASME. https://doi.org/10.1115/SMASIS2013-3129
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