Wavelet Based Neural Network Solution for Forward Kinematics Problem of HEXA Parallel Robot

Citation data:

2008 International Conference on Intelligent Engineering Systems, Page: 63-70

Publication Year:
2008
Captures 11
Readers 11
Citations 6
Citation Indexes 6
DOI:
10.1109/ines.2008.4481271
Author(s):
M. Dehghani; M. Ahmadi; A. Khayatian; M. Eghtesad
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
Computer Science; Engineering
conference paper description
Forward kinematics problem of parallel robots is very difficult to solve in comparison to the serial manipulators because of the highly nonlinear relations between joint variables and position and orientation of the end effector. This problem is almost impossible to solve analytically. Numerical methods are one of the common solutions for this problem. But, convergency of these methods is the drawback of using them. In this paper, wavelet based neural network (wave-net) approach is used to solve the forward kinematics problem of the HEXA parallel manipulator. This problem is solved in the typical workspace of this robot. Simulation results show the advantages of employing wavelet neural networks in enhancement of convergency and decreasing modeling errors. © 2008 IEEE.