A Hybrid Strategy for Forward Kinematics of the Stewart Platform Based on Dual Quaternion Neural Network and ARMA Time Series Prediction
The forward kinematics of the Stewart platform is crucial for precise control and reliable operation in six-degree-of-freedom motion. However, there are some shortcomings in practical applications, such as calculation precision, computational efficiency, the capacity to resolve singular Jacobian mat...
Saved in:
| Main Authors: | Jie Tao, Huicheng Zhou, Wei Fan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Actuators |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-0825/14/4/159 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
STUDIES ON STEWART PLATFORM – A REVIEW
by: Alina-Elena LUPULESCU (MACHIDON)
Published: (2023-05-01) -
Design Optimization of Stewart-Gough Platform based on Differential Evolution Algorithm
by: Wang Ting, et al.
Published: (2018-01-01) -
Modeling and implementation of a real-time digital twin for the Stewart platform with real-time trajectory computation
by: Xiurui Ding, et al.
Published: (2025-05-01) -
Dynamic Model and PD Control with Forces Compensation of Dual-Stage Gough-Stewart Platform
by: Ha Huy Hung, et al.
Published: (2024-11-01) -
On Dual Quaternions with $k-$Generalized Leonardo Components
by: Gülsüm Yeliz Saçlı, et al.
Published: (2023-09-01)