ANFIS modeling and feed forward control of shape memory alloy actuators

作者: Behrouz Shasti , Ayyoub Rezaeeian , Alireza Doosthoseini , Aghil Yousefi-Koma

DOI:

关键词: Motion controlActuatorSMA*Feed forwardNonlinear systemControl engineeringData acquisitionAdaptive neuro fuzzy inference systemControl theoryEngineering

摘要: This paper focuses on the application of ANFIS in modeling nonlinear behavior shape memory alloy actuators. Although, SMA actuators have attracted much attention for applications many fields such as miniature robots they not been widely utilized motion control due to their behaviors and difficulties. Because ability learning adaptation, architectures are suitable tools obtaining model controller systems. A set experiments conducted generate data. The test bed includes a wire, force sensor, data acquisition terminal power amplifier. reported results demonstrate wire.

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