An Iterative Tuning Method for Feedforward Control of Parallel Manipulators Considering Nonlinear Dynamics
Abstract Feedforward control is one of the most effective control techniques to increase the robot’s tracking accuracy. However, most of the dynamic models used in the feedforward controllers are linearly simplified such that the nonlinear and time-varying characteristics of dynamics in the workspac...
Saved in:
| Main Authors: | Xiaojian Wang, Jun Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
|
| Series: | Chinese Journal of Mechanical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10033-024-01162-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
by: Jianbin Cao, et al.
Published: (2022-05-01) -
A Data-Driven Iterative Feedforward Tuning Strategy with a Variable-Gain Feedback Controller for Linear Servo Systems
by: Jiaqian Fu, et al.
Published: (2025-06-01) -
Research on Feedforward Compensation Control Strategy of Electro-hydraulic Servo System for Underwater Manipulator
by: WANG Hongfei, et al.
Published: (2020-01-01) -
A New Motion Tracking Controller with Feedforward Compensation for Robot Manipulators Based on Sectorial Fuzzy Control and Adaptive Neural Networks
by: Andres Pizarro-Lerma, et al.
Published: (2025-03-01) -
Energy Saving in Ship Central Cooling Systems: IMC-Tuned PID with Feedforward Control
by: Tae-Youl Jeon, et al.
Published: (2025-03-01)