中文摘要：

为满足变体机翼蒙皮连续光滑以及大变形要求,提出了一种可主动变形的SMARC波纹型蒙皮结构,并制备了两种蒙皮实验样件,在不同环境温度下,进行了拉伸与驱动实验。拉伸实验结果表明SMARC样件拉伸变形性能优于不含SMA丝样件,但SMARC材料受温度影响较大,温度升高,结构刚度减小;驱动实验中,初始位移线性增加,当激励电流超过3.4A时,复合材料基体受热软化,导致位移呈非线性变化趋势。最后在实验基础上建立了一个以电流强度为输入参量,驱动位移为输出参量的RBF神经网络模型,其逼近曲线较为准确和贴近实际驱动特性,最大预测相对误差〈6%,为智能蒙皮的主动控制研究提供了一定的理论及实验依据。

英文摘要：

In the research of variant skinned wing, a type of SMARC rippled skin structure with active deforma- tion was proposed at first for meeting requirements of continuous smooth and large deformation. And then, two kinds of skin testing samples were made and tested for stretch and driving ability in different environment tem- perature. Results of tensile test show that SMARC rippled skin test sample has better stretching deformation performance than the ordinary rippled skin type. However, the temperature has more influence on SMARC rip- pled skin test samples. When the temperature is higher, structure stiffness of SMARC rippled skin test sample is smaller. In the driving test, the initial displacement of SMARC rippled skin test sample has linear increase. When the drive electric current is more than 3.4A, matrices of composite material are heated to soften. As the result of that, the displacement has a nonlinear variation trend. At last, on the basis of driving test data, a type of RBF neural network model was established where current strength was input parameter and the driver dis- placement was output parameter. The approximation curve of this neural network model is more accurate and close to the practical characteristics, and the biggest driver relative prediction error is less than 6 %, which provides for active control of intelligent skin with a certain theoretical and experimental basis.