Precise position control using shape memory alloy wires
Shape memory alloys (SMAs) are active metallic ``smart'' materials used as actuators and sensors in high technology smart systems [1]. The term shape memory refers to ability of certain materials to ``remember'' a shape, even after rather severe deformations: once deformed at low...
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Published in | Elektrik : Turkish journal of electrical engineering & computer sciences Vol. 18; no. 5; pp. 899 - 912 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Abstract | Shape memory alloys (SMAs) are active metallic ``smart'' materials used as actuators and sensors in high technology smart systems [1]. The term shape memory refers to ability of certain materials to ``remember'' a shape, even after rather severe deformations: once deformed at low temperatures, these materials will stay deformed until heated, whereupon they will return to their original, pre-deformed ``learned'' shape [2]. This property can be used to generate motion and/or force in electromechanical devices and micro-machines. However, the accuracy of SMA actuators is severely limited by their highly nonlinear stimulus-response characteristics. In this work, modeling, simulation, and experimental efforts to precisely control the position of a Ni-Ti based shape memory alloy wire is presented. In this content three separate control strategies are tried and very good positioning accuracies are obtained. |
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AbstractList | Shape memory alloys (SMAs) are active metallic "smart" materials used as actuators and sensors in high
technology smart systems [1]. The term shape memory refers to ability of certain materials to "remember"
a shape, even after rather severe deformations: once deformed at low temperatures, these materials will
stay deformed until heated, whereupon they will return to their original, pre-deformed "learned" shape [2].
This property can be used to generate motion and/or force in electromechanical devices and micro-machines.
However, the accuracy of SMA actuators is severely limited by their highly nonlinear stimulus-response
characteristics. In this work, modeling, simulation, and experimental efforts to precisely control the position
of a Ni-Ti based shape memory alloy wire is presented. In this content three separate control strategies are
tried and very good positioning accuracies are obtained. Shape memory alloys (SMAs) are active metallic ``smart'' materials used as actuators and sensors in high technology smart systems [1]. The term shape memory refers to ability of certain materials to ``remember'' a shape, even after rather severe deformations: once deformed at low temperatures, these materials will stay deformed until heated, whereupon they will return to their original, pre-deformed ``learned'' shape [2]. This property can be used to generate motion and/or force in electromechanical devices and micro-machines. However, the accuracy of SMA actuators is severely limited by their highly nonlinear stimulus-response characteristics. In this work, modeling, simulation, and experimental efforts to precisely control the position of a Ni-Ti based shape memory alloy wire is presented. In this content three separate control strategies are tried and very good positioning accuracies are obtained. |
Author | ÖZKAN, Bülent DÖNMEZ, Burcu KADIOĞLU, Suat |
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References | A. Kılı¸carslan et al., "ANFIS Based Modeling and Inverse Control of a Thin SMA Wire", Modeling, Signal Processing, and Control for Smart Structures, Proceedings of SPIE, Vol. 6926, 2008. B. Kuo, Automatic Control Systems, Prentice-Hall Inc., 1995. A. Kumagai, T. Liu, and P. Hozian, "Control of shape memory alloy actuators with a neuro-fuzzy feed-forward model element", Journal of Intelligent Manufacturing, Vol. 17, 2006. MATLAB, "Neural Network Toolbox, Narma-L2 Controller", The Mathworks Inc., 2007. K. Lei, Y. Yam "Modeling and experimentation of a positioning system of SMA wires", Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, Proceedings of SPIE, Vol. 3986, 2000. D. Reynearts, Brussels H., "Design aspects of shape memory actuators", Mechatronics, Vol. 8, pp. 635-656, 1997. J.L. Pons, D. Reynaerts, J. Peirs, R. Ceres, H. VanBrussel, "Comparison of different control approaches to drive SMA actuators", ICAR'97, 1997. R.W. Erickson, Filter Circuits, ECEN2260, 1997. C.M. Wayman, T.W. Duerig, K.N. Melton, An Introduction to Martensite and Shape Memory, Engineering Aspects of Shape Memory Alloys, Butterworth-Ileinemann, 1990. T.W. Duerig, "Applications of shape memory, martensitic transformations", Materials Science Forum, pp. 679-692, 1990. K.S. Narenda, S. Mukhopadhyay, "Adaptive control using neural networks and approximate models", IEEE Transactions on Neural Networks, Vol. 1, pp. 4-27, 1990. E. Asua et al., "Neural network-based micropositioning control of smart shape memory alloy actuators", Engineering Applications of Artificial Intelligence, Vol. 24, pp. 796-804, 2008. A. Nespoli, et al. "The high potential of shape memory alloys in developing miniature mechanical devices: A review on shape memory alloy mini-actuators", Sensors and Actuators A: Physical, Vol. 158, pp. 149-160, 2010. K. Ikuta, "Micro/miniature shape memory alloy actuator", Proceedings of IEEE Conference on Robotics and Automation, pp. 2156-2161, 1990. |
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Snippet | Shape memory alloys (SMAs) are active metallic ``smart'' materials used as actuators and sensors in high technology smart systems [1]. The term shape memory... Shape memory alloys (SMAs) are active metallic "smart" materials used as actuators and sensors in high technology smart systems [1]. The term shape memory... |
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SubjectTerms | Akıllı sistem Benzetim Biçim bellekli alaşım Control Engineering Deneysel çalışma Experimental study Intelligent system Kontrol Mühendisliği Konum kontrolü Metalik Malzemeler Metallic Materials position control shape memory alloy Shape memory alloy wire, precise control, smart materials, computer simulations, experiment simulation |
Title | Precise position control using shape memory alloy wires |
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