形状记忆合金*
执行机构
控制理论(社会学)
职位(财务)
形状记忆合金
估计员
人工神经网络
流离失所(心理学)
计算机科学
前馈
工程类
控制工程
控制(管理)
数学
人工智能
算法
统计
经济
心理学
心理治疗师
财务
作者
P. Senthilkumar,M. Umapathy
标识
DOI:10.1177/1077546313481000
摘要
This paper presents the position control of a shape memory alloy (SMA) wire actuator by measuring the load generated by the SMA and using a neural network as an estimator for displacement. The experimentation facility is designed and developed for the position control of the SMA. Gain scheduled proportional integral (GSPI) and pulse width modulated GSPI controllers are designed and implemented. The closed-loop performance of the position control system using the displacement estimated from the load measurement is the same as the performance obtained with the direct position feedback. The position control of the SMA actuator using the SMA load with the neural network estimator is an easily implementable method that does not affect the frequency of operation of the SMA actuator.
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