A Novel Hybrid Algorithm for the Forward Kinematics Problem of 6 DOF Based on Neural Networks
The closed kinematic structure of Gough–Stewart platforms causes the kinematic control problem, particularly forward kinematics. In the traditional hybrid algorithm (backpropagation neural network and Newton–Raphson), it is difficult for the neural network part to train different datasets, causing t...
Main Authors: | Huizhi Zhu, Wenxia Xu, Baocheng Yu, Feng Ding, Lei Cheng, Jian Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/14/5318 |
Similar Items
-
A Lie Group-Based Iterative Algorithm Framework for Numerically Solving Forward Kinematics of Gough–Stewart Platform
by: Binhai Xie, et al.
Published: (2021-04-01) -
A New Solving Method Based on Simulated Annealing Particle Swarm Optimization for the Forward Kinematic Problem of the Stewart–Gough Platform
by: Zihao Yin, et al.
Published: (2022-07-01) -
An Algorithm for the Forward Position Kinematics of General Stewart Platform Mechanism
by: Wang Furong, et al.
Published: (2016-01-01) -
Optimization of a 6-DOF Platform for Simulators Based on an Analysis of Structural and Force Parameters
by: Tatiana Duyun, et al.
Published: (2023-08-01) -
A Geometric Approach for Real-Time Forward Kinematics of the General Stewart Platform
by: Fangfang Yang, et al.
Published: (2022-06-01)