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- W3003397455 abstract "The BOPP film thickness control system is a nonlinear and complex multivariable coupling system. The three-channel transfer function matrix model is obtained by analyzing the process, The existing decoupling algorithm has a good effect in the film thickness control system, but cannot completely eliminate the system coupling effect, and the system robustness still needs to be improved. So the RBF model is used to decouple the system and the RBFD algorithm is designed. Aiming at the long training process situation of RBF decoupling algorithm, fast self-learning, attaching differential term and particle swarm optimization (PSO) are used to optimize the RBF model to improve the anti-interference ability and response speed of the system, so as to design the ASRBFD decoupling algorithm and realize the complete dynamic decoupling control. The experiment results show that the ASRBFD decoupling method designed in this paper has strong anti-interference ability, high RBF model training efficiency and excellent decoupling performance." @default.
- W3003397455 created "2020-02-07" @default.
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- W3003397455 date "2019-10-01" @default.
- W3003397455 modified "2023-09-26" @default.
- W3003397455 title "Research on Improving RBF Decoupling Control Model of Film Thickness Control Based on PSO" @default.
- W3003397455 doi "https://doi.org/10.1109/icmcce48743.2019.00221" @default.
- W3003397455 hasPublicationYear "2019" @default.
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