Neural Network Based Adaptive Backstepping Control for Electro-Hydraulic Servo System Position Tracking
The modeling uncertainties and external disturbances of electro-hydraulic servo system (EHSS) deteriorate the system’s trajectory tracking performance. To cope with this issue, an adaptive backstepping controller based on neural network (NN) is proposed in this paper. A radial-basis-function neural...
Saved in:
Main Authors: | Zhenshuai Wan, Longwang Yue, Yu Fu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2022/3069092 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive backstepping control for electro-hydraulic servo system in extension sleeve press-fitting process of bearing pressing machine
by: Chen Hongsheng
Published: (2025-01-01) -
Integral Nonsingular Terminal Sliding Mode Control of Hydraulic Servo Actuator Based on Extended State Observer
by: Zhenshuai Wan, et al.
Published: (2021-01-01) -
RBF Neural Network Backstepping Sliding Mode Adaptive Control for Dynamic Pressure Cylinder Electrohydraulic Servo Pressure System
by: Pan Deng, et al.
Published: (2018-01-01) -
Self-Organizing Adaptive Wavelet Backstepping Control Research for AC Servo System
by: Run-min Hou, et al.
Published: (2016-01-01) -
Adaptive Neural Network Control for Nonlinear Hydraulic Servo-System with Time-Varying State Constraints
by: Shu-Min Lu, et al.
Published: (2017-01-01)