作者: Behrouz Shasti , Ayyoub Rezaeeian , Alireza Doosthoseini , Aghil Yousefi-Koma
DOI:
关键词: Motion control 、 Actuator 、 SMA* 、 Feed forward 、 Nonlinear system 、 Control engineering 、 Data acquisition 、 Adaptive neuro fuzzy inference system 、 Control theory 、 Engineering
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.