Shape memory alloys are among the highly applicable smart materials that have recently appealed to scientists from various fields of study. In this article, a novel shape memory alloy actuator, in the form of a rod, is introduced, and an adaptive model predictive control system is designed for position control of the developed actuator. The need for such an advanced control system emanates from the fact that modeling and controlling of shape memory alloy actuators are thwarted by their hysteresis nonlinearity, dilatory response, and high dependence on environmental conditions. Real-time identification and dynamic parameter estimation of the model are addressed according to orthogonal Laguerre functions and recursive least square algorithm. In the end, the designed control system is implemented on the experimental setup of the fabricated shape memory alloy actuator. It is observed that the designed control system successfully tracks the variable step and sinusoidal control references with startling accuracy of ±1 μm.

中文翻译：

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一种新型形状记忆合金杆致动器的自适应预测控制

形状记忆合金是高度适用的智能材料之一，最近吸引了各个研究领域的科学家。在本文中，介绍了一种新型棒状形状记忆合金执行器，并设计了自适应模型预测控制系统来控制所开发执行器的位置。对这种先进控制系统的需求源于这样一个事实：形状记忆合金致动器的建模和控制因其滞后非线性、延迟响应和对环境条件的高度依赖性而受阻。根据正交拉盖尔函数和递归最小二乘算法对模型进行实时识别和动态参数估计。到底，设计的控制系统在制造的形状记忆合金执行器的实验装置上实现。观察到设计的控制系统以±1μm的惊人精度成功跟踪可变步长和正弦控制参考。