摘要
针对要求实现连杆运动位置数目大于机构的精确点数目的平面连杆机构的综合问题,提出了利用BP神经 网络的综合方法。首先,将连杆的运动映射为映射空间的一条曲线,利用二维实数的傅里叶变换提取曲线的傅里 叶描述,然后,在大量的机构运动仿真的基础上,将连杆运动的映像曲线的傅里叶描述作为BP神经网络的输入, 相应的机构的几何参数作为网络的输出,训练BP网络。研究结果表明,训练后的神经网络不仅对连杆机构运动 综合问题能够做出正确的反应,而且具有其他方法所不具有的优点。
An approach using BP neural network is presented to synthesize the dimensions of a planar mechanisms, especially for the case in which the number of the prescribed positions is larger than the maximum a linkage can generates precisely. The planar displacements are mapped onto a curve in a space of mapping and two-dimensional Fourier transform is employed to find its Fourier descriptors. By kinematic simulations of crank-rocker linkages with random value of dimensions the samples are obtained, and the neural networks are trained with the Fourier descriptors as the inputs and the dimensions of the linkage as outputs. An example is given to demonstrate the approach, and its advantages over others are discussed.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2005年第2期24-27,共4页
Journal of Mechanical Engineering
基金
国家自然科学基金资助项目(50175093)。
关键词
BP神经网络
运动映像
连杆运动综合
BP neural networks Kinematic mapping Motion generation of planar mechanism
