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Nano-precision positioning of GMA based on modified Preisach model

机译:基于改进的Preisach模型的GMA纳米精度定位

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Giant magnetostrictive actuators (GMA) are widely applied in ultra-precision positioning. However, the accuracy of GMA in positioning is intensively affected by hysteresis and nonlinearity of giant magnetostrictive materials. To characterize the hysteresis and nonlinearity, The nonlinear model of GMA based on modified Preisach model was established in this paper. Since the operation of Preisach model depends on the previous experimental data and the inversion algorithm of Preisach operators, which is always a complicated procedure, we proposed in this paper a point-standard iterated algorithm instead of the inversion of Preisach operators, in which the extremum values of Preisach model are stored in input memory matrix, and the input current can be determined by the comparison between target value and the current status of displacements. To conduct experiments with GMA under constant temperature, we designed a new actuator with double liquid-cooling structure. Experimental results showed that ultra-precision positioning in open loop with high accuracy and quick response can be realized based on the modified Preisach model and the point-standard iterated algorithm with our novel GMA structure.
机译:巨磁致伸缩执行器(GMA)广泛应用于超精密定位。但是,GMA的定位精度受巨型磁致伸缩材料的磁滞和非线性影响很大。为了表征磁滞和非线性,建立了基于改进的Preisach模型的GMA非线性模型。由于Preisach模型的操作取决于先前的实验数据和Preisach算子的反演算法,这总是一个复杂的过程,因此本文提出了一种点标准迭代算法,而不是Preisach算子的反演,其中极值Preisach模型的值存储在输入存储矩阵中,并且可以通过目标值与位移的当前状态之间的比较来确定输入电流。为了在恒定温度下使用GMA进行实验,我们设计了一种具有双液冷结构的新型执行器。实验结果表明,基于改进的Preisach模型和新颖的GMA结构的点标准迭代算法,可以实现高精度,快速响应的开环超高精度定位。

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