|
二维码（扫一下试试看！） |
| Research on Paper Roll Deviation Control System Based on RBF Neural Network Sliding Module Control |
| Received:February 14, 2023 Revised:April 09, 2023 |
| DOI：10.11981/j.issn.1000-6842.2024.01.107 |
| Key Words:paper roll;deviation control;RBF neural network;sliding module control;MATLAB/Simulink;dynamic performance |
| Fund Project:四川省教育厅自然科学科研项目（21ZA0347）。 |
| Author Name | Affiliation | Postcode | | ZHANG Jihong | School of Intelligent Manufacturing， Sichuan Vocational and Technical College， Suining， Sichuan Province， 629000）
| 629000 |
|
| Hits: 1218 |
| Download times: 700 |
| Abstract: |
| The servo correction control system was designed with RBF neural network through the establishment of its dynamic model. Using MATLAB / Simulink simulation software to simulate， and combining with experimental verification， the dynamic performance of the system was analyzed to obtain the response curve. The results showed that the deviation was reduced from 1.5 mm to 0.55 mm at the paper pulling speed of 65 mm/s， and the displacement and speed tracking error were small. |
| View Full Text View/Add Comment Download reader HTML |
