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Abstract: 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.
Key words: BP neural networks Kinematic mapping Motion generation of
planar mechanism
CLC No: TH112.1
国家自然科学基金资助项目(50175093).
Received 20040411, received in revised form 20020040830
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