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Papers Presented at the 13th China Academic Conference on Printing and Packaging 2022
Volume: 67 | Article ID: 020411
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Design Decoupling Controller based on Feedforward and Improved PID for Tension System
  DOI :  10.2352/J.ImagingSci.Technol.2023.67.2.020411  Published OnlineMarch 2023
Abstract
Abstract

It is difficult to precisely control the substrate tension due to the tension system of roll-to-roll coating machine with strong coupling and time-varying parameters. Therefore, a feedforward improved proportional integral derivative (PID) parameters self-tuning decoupling controller of tension system is proposed in this paper. According to the components and working principle of the coating machine, the nonlinear coupling mechanism model of the global tension system is established, and the model is linearized by using the Taylor series. Based on the linear model, a feedforward improved PID parameters self-tuning decoupling controller is designed for tension system. Through the feedforward control compensates the modeled tension and speed interference, a tracking differentiator (TD) is used to improve the performance of PID, and the online self-tuning of PID parameters can be realized by an Radial Basis Function (RBF) identification network. The simulation results show that the proposed decoupling control strategy of tension system can well suppress the coupling interference between the units, and realize the real-time tuning of PID parameters.

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  Cite this article 

Haodi Ding, Shanhui Liu, Han Zhang, Ziyu Wang, Ming Peng, "Design Decoupling Controller based on Feedforward and Improved PID for Tension Systemin Journal of Imaging Science and Technology,  2023,  pp 020411-1 - 020411-10,  https://doi.org/10.2352/J.ImagingSci.Technol.2023.67.2.020411

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Copyright © Society for Imaging Science and Technology 2023
  Article timeline 
  • received June 2022
  • accepted October 2022
  • PublishedMarch 2023

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