期刊
MECCANICA
卷 42, 期 2, 页码 187-196出版社
SPRINGER
DOI: 10.1007/s11012-006-9037-3
关键词
kinematics; neural networks; parallel mechanism; Stewart platform mechanism
类别
A feed-forward neural network has been trained using backpropagation algorithm to solve the forward kinematics problem of the 6-3 Stewart Platform Mechanism (SPM). The forward kinematics problem of the SPM does not have a unique solution since it involves solving a polynomial of order 16. Purely translational, purely rotational and general spatial data sets have been used in training and testing, and then an optimization procedure has been applied to fine-tune the solution. The method yields results fast and accurate enough such that it can be used instead of a gyro and a position sensor for real time control of the mechanism.
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