Prediction of Input–Output Characteristic Curves of Hydraulic Cylinders Based on Three-Layer BP Neural Network
To predict the variation in the displacement position of hydraulic cylinder piston rods, a neural network model is proposed to enhance the displacement control accuracy of hydraulic cylinders. The innovation of this paper is that by calculating the compressibility-induced flow loss of hydraulic flui...
Saved in:
| Main Authors: | Wei Cai, Yirui Zhang, Jianxin Zhang, Shunshun Guo, Rui Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/6/1949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and experimental study of electro-hydraulic buffer control valve for hydraulic support push cylinder
by: JIANG Sulong, et al.
Published: (2025-02-01) -
Analysis of Different Guide Elements’ Designs in Hydraulic Cylinders
by: Jan Pustavrh, et al.
Published: (2025-04-01) -
System Identification of a Servo-Valve Controlled Hydraulic Cylinder Operating Under Variable Load
by: Daniel Catalin Stroita, et al.
Published: (2025-01-01) -
The Stress State of a Thick-Walled Hydraulic Press Cylinder with Concentrators
by: Lymarenko A., et al.
Published: (2023-06-01) -
Servo Driven Hydraulic Cylinder Hydrostatic Guide Sleeve Temperature Field Analysis
by: SHAO Junpeng, et al.
Published: (2020-08-01)