1
Faculty of Engineering & Technology, University of Mazandaran
2
Engineering and Technology, University of Mazandaran
Abstract
In this research, Artificial Neural Networks (ANNs) have been used as a powerful tool to solve the inverse kinematic equations of a parallel robot. For this purpose, we have developed the kinematic equations of a Tricept parallel kinematic mechanism with two rotational and one translational degrees of freedom (DoF). Using the analytical method, the inverse kinematic equations are solved for specific trajectory, and used as inputs for the applied ANNs. The results of both applied networks (Multi-Layer Perceptron and Redial Basis Function) satisfied the required performance in solving complex inverse kinematics with proper accuracy and speed.
moradinezhad, R., Ghasemi, J., & hosseini, M. A. (2017). Kinematic Synthesis of Parallel Manipulator via Neural Network Approach. International Journal of Engineering, 30(9), 1319-1325.
MLA
Reza moradinezhad; Jamal Ghasemi; Mir Amin hosseini. "Kinematic Synthesis of Parallel Manipulator via Neural Network Approach". International Journal of Engineering, 30, 9, 2017, 1319-1325.
HARVARD
moradinezhad, R., Ghasemi, J., hosseini, M. A. (2017). 'Kinematic Synthesis of Parallel Manipulator via Neural Network Approach', International Journal of Engineering, 30(9), pp. 1319-1325.
VANCOUVER
moradinezhad, R., Ghasemi, J., hosseini, M. A. Kinematic Synthesis of Parallel Manipulator via Neural Network Approach. International Journal of Engineering, 2017; 30(9): 1319-1325.
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