Dynamic Surface Control of Harmonic Drive Mechanism based on RBF Neural Network
The mathematic model for the harmonic drive mechanism with multi- variable and nonlinear external disturbance is established,the system error is defined and virtual function is introduced gradually. The RBF neural network is employed to approximate the nonlinear part of the harmonic drive mechanism...
Saved in:
Main Authors: | Li Xiangwei, Hou Gaoqiang |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2016-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.07.013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Adaptive Back-stepping Control of Harmonic Drive Based on the RBF Neural Network
by: Song Gang, et al.
Published: (2023-08-01) -
Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
by: Xia Yuan, et al.
Published: (2021-03-01) -
Landslide Forecasting Model Based on PCA and Improved CS-RBF
by: WANG Lianxia, et al.
Published: (2024-08-01) -
Daily Plasmaspheric TEC Variations From COSMIC GPS Observations Based on RBF Neural Network‐Kriging Method
by: Qiqi Shi, et al.
Published: (2023-07-01) -
Tooth Profile Design of Tri-arc Harmonic Gear Drive
by: Xiao Jichang, et al.
Published: (2019-01-01)