2018 Moratuwa Engineering Research Conference (MERCon) 2018
DOI: 10.1109/mercon.2018.8421929
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Development of a PID Based Closed Loop Controller for Shape Memory Alloy Actuators

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Cited by 6 publications
(3 citation statements)
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“…The acquired values were plotted and Figure 10 shows the variation of force with the temperature for the NiTiNOL springs which had the same coil and wire diameter with different transformation temperatures. These forces can be achieved in a controlled manner [11,12].…”
Section: Force Characterization Of the Sma Springmentioning
confidence: 99%
“…The acquired values were plotted and Figure 10 shows the variation of force with the temperature for the NiTiNOL springs which had the same coil and wire diameter with different transformation temperatures. These forces can be achieved in a controlled manner [11,12].…”
Section: Force Characterization Of the Sma Springmentioning
confidence: 99%
“…Thermomechanical structures of SMAs [6] SMAs are used in biomedical/medical applications, space researches, microelectromechanical systems, aircraft hydraulic systems, semiconductor gas tube connections, dental bracing components, satellite systems, thermostatic devices, on radiator blades of vehicles, and at exhaust outlet controllers, etc. [2,[9][10][11][12]. When choosing an SMA material, one of the most important factors is the compatibility of the material with the environment, thus, they have to have large workout capacity and great deformation capability without losing the capability to turn back to its original shape.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the hysteresis, the control of flexible structures actuated by shape memory alloys has turned to a challenging task [15]. Various linear control approaches including proportional-integral (PI) [16] and proportional-integral-derivative (PID) [17,18] as well as nonlinear optimal and fuzzy logic controls [19], and variable structure/sliding mode control has been applied on SMA actuated devices. Among these methods, the sliding mode algorithms have shown promising results thanks to their less sensitivity to system parameter variations and noise disturbances [20][21][22].…”
Section: Introductionmentioning
confidence: 99%