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| Application of PID Neural Network in Paper Tension Control System |
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| DOI： |
| Key Words:PID neural network；paper tension；PID controller；simulation |
| Fund Project:江苏省制浆造纸科学与技术重点实验室开放基金项目(201010)。 |
| Author Name | Affiliation | | 邓 肖 | 南京林业大学江苏省制浆造纸科学与技术重点实验室，江苏南京，210037 | | 胡慕伊* | 南京林业大学江苏省制浆造纸科学与技术重点实验室，江苏南京，210037 |
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| Abstract: |
| Through the analysis of the structure of PID neural network(PIDNN), we found that it can be applied in paper tension control.Simulation results showed that compared with the conventional PID controller, PIDNN controller had faster steady-state response, without overshoot, no static difference, shorter transition time and better convergence.The control effect of PIDNN controller was greatly improved. |
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