Shape memory alloy wire for self-sensing servo actuation
This paper reports on the development of a straightforward approach to realise self-sensing shape memory alloy (SMA) wire actuated control. A differential electrical resistance measurement circuit (the sensorless signal conditioning (SSC) circuit) is designed; this sensing signal is directly used as...
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Veröffentlicht in: | Mechanical systems and signal processing 2017-01, Vol.83, p.36-52 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper reports on the development of a straightforward approach to realise self-sensing shape memory alloy (SMA) wire actuated control. A differential electrical resistance measurement circuit (the sensorless signal conditioning (SSC) circuit) is designed; this sensing signal is directly used as the feedback for control. Antagonistic SMA wire actuators designed for servo actuation is realized in self-sensing actuation (SSA) mode for direct control with the differential electrical resistance feedback. The self-sensing scheme is established on a 1-DOF manipulator with the discrete time sliding mode controls which demonstrates good control performance, whatever be the disturbance and loading conditions. The uniqueness of this work is the design of the generic electronic SSC circuit for SMA actuated system, for measurement and control. With a concern to the implementation of self-sensing technique in SMA, this scheme retains the systematic control architecture by using the sensing signal (self-sensed, electrical resistance corresponding to the system position) for feedback, without requiring any processing as that of the methods adopted and reported previously for SSA techniques of SMA.
•Antagonistic SMA wire actuators realized for self-sensed servo actuation.•Implementation of direct control with the differential electrical resistance feedback.•Design of a generic electronic SSC circuit for measurement and control of SMA actuated system.•The self-sensing technique adopted overcomes the limitations of the conventional methods. |
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ISSN: | 0888-3270 1096-1216 |
DOI: | 10.1016/j.ymssp.2016.05.042 |