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A flexible new method to improve the accuracy of SMA self-sensing control

机译:一种提高SMA自感控制精度的灵活新方法

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This paper proposes a flexible new method to improve the accuracy of SMA(shape memory alloy) self-sensing control, especially in low load, and broaden the application condition of it. SMA is a kind of intelligent material, it can be acted as an actuator(have big output force ratio) and a sensor at the same time in control system. For these advantages, the SMA has a lot of applications. Since the control model of SMA varies with the change of control variables, the accuracy of the self-sensing control is not high enough, especially under low pretightening. In this paper, we constructed the control model of SMA by using two base models to work out the changeable control model. Compared with traditional control method which use only the base model under certain pretightening force, the proposed new method is easier to apply and has less limit on pretightening force, and the accuracy also improved a lot. The SMA actuator can be applied onto a lot of micro mechanism, such as artificial muscle, micro wrist, micro finger, so this improvement have significance in practical use.
机译:本文提出了一种灵活的新方法,以提高形状记忆合金(SMA)自感应控制的精度,特别是在低负载情况下,并扩大了其应用条件。 SMA是一种智能材料,在控制系统中可以同时起作动器(输出力比大)和传感器的作用。由于这些优点,SMA有很多应用。由于SMA的控制模型随控制变量的变化而变化,因此自感控制的精度不够高,尤其是在预紧力较低的情况下。在本文中,我们通过使用两个基本模型来构建SMA的控制模型,以得出可变控制模型。与传统的在一定的预紧力下仅使用基本模型的控制方法相比,该新方法易于应用,对预紧力的限制更小,精度也大大提高。 SMA致动器可以应用于许多微机构,例如人造肌肉,微腕,微指,因此这种改进在实际使用中具有重要意义。

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