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针对形状记忆合金细长柔杆智能结构的形状、位置动态检测中存在的问题,设计了微小尺寸的光纤光栅形状、位置传感网络和相关的封装工艺,利用基于离散点空间曲率信息的曲线重建算法,在一端点位置和姿态已知的情况下,研究了具备超弹性的细长形状记忆合金柔杆形状及位置动态测量方法。提出了基于曲率感知网络的形状记忆合金细长柔杆位置检测的误差定义、误差组成及减少误差的方法;利用自动渐进推进装置设计了新型的精度实验系统,克服了传感网络设计和封装的实验局限,分析了传感网络密度对形状、位置测量精度的影响,为进一步进行传感网络优化提供了实验依据。
Aiming at the problems existing in the shape and position dynamic detection of shape-memory alloy smart structure of flexible elongated rod, the shape and position sensing network of small size fiber grating and the related packaging process are designed. Curve reconstruction based on space curvature information of discrete points Algorithm, the shape and position of flexible rod with slender shape memory alloy are studied under the condition that the position and attitude of one end are known. The error definition, the error composition and the method to reduce the error of slender flexible rod position detection of shape memory alloy based on curvature sensing network are proposed. A new type of precision experiment system is designed by using automatic progressive propulsion device, which overcomes the problems of sensor network design and package The limitations of the experiment are analyzed. The influence of sensor network density on shape and position measurement accuracy is analyzed, which provides an experimental basis for further optimization of sensor network.