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| Research and Application of Basis Weight and Moisture Content Control Strategy Based on FNN Decoupling |
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| DOI：10.11980/j.issn.0254-508X.2017.07.009 |
| Key Words:basis weight moisture content fuzzy control neural network FNN |
| Fund Project:陕西省科技研究发展（攻关）项目(2013K07-28)。 |
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| Abstract:Aiming at the problem of strong coupling between paper basis weight and moisture content in the paper making process, a decoupling controller based on fuzzy neural network （FNN） was proposed. Firstly, coupling compensation of control system was implemented using fuzzy control. Secondly, the neural network was used to optimize the fuzzy control rules and the decoupling compensation parameters in the control process. The multivariable system of paper making process was transformed into a single variable system, which could realize the decoupling between the paper basis weight and moisture content. The simulation results showed that the FNN decoupling controller had better dynamic response and stronger robustness. The strategy was successfully applied to the production of a paper mill in Zhejiang province by the Shaanxi XiWei Aotumation Control Engineering Limited. The basis weight control accuracy was about 3.9 g/m2, and the water content control precision was about 1%, which met the high precision control requirement of the paper machine. |
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