Department of Mechanical Engineering, National Taiwan University, Taipei, 10617, Taiwan.
Sensors (Basel). 2010;10(1):112-27. doi: 10.3390/s100100112. Epub 2009 Dec 28.
Shape memory alloys (SMAs) offer a high power-to-weight ratio, large recovery strain, and low driving voltages, and have thus attracted considerable research attention. The difficulty of controlling SMA actuators arises from their highly nonlinear hysteresis and temperature dependence. This paper describes a combination of self-sensing and model-based control, where the model includes both the major and minor hysteresis loops as well as the thermodynamics effects. The self-sensing algorithm uses only the power width modulation (PWM) signal and requires no heavy equipment. The method can achieve high-accuracy servo control and is especially suitable for miniaturized applications.
形状记忆合金 (SMA) 具有高功率重量比、大回复应变和低驱动电压的特点，因此引起了相当多的研究关注。SMA 执行器的控制难点在于其高度非线性的迟滞和温度依赖性。本文提出了一种自感测和基于模型的控制相结合的方法，其中模型包括主要和次要迟滞环以及热力学效应。自感测算法仅使用功率宽度调制 (PWM) 信号，不需要重型设备。该方法可以实现高精度的伺服控制，特别适用于小型化应用。
