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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research and development of low-energy and high-efficiency wind-fed tobacco technology
Yueping Guo
Yueping Guo
Liuzhou Cigarette Factory of Guangxi China Tobacco Industry Co., Ltd
Yulin, China
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Guo, Yueping
,
Dianguo Hu
Dianguo Hu
Liuzhou Cigarette Factory of Guangxi China Tobacco Industry Co., Ltd
Yulin, China
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Hu, Dianguo
and
Zhenyue Lu
Zhenyue Lu
Liuzhou Cigarette Factory of Guangxi China Tobacco Industry Co., Ltd
Yulin, China
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Lu, Zhenyue
Jul 05, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Jul 05, 2024
Received:
Feb 28, 2024
Accepted:
May 21, 2024
DOI:
https://doi.org/10.2478/amns-2024-1637
Keywords
Wind-powered wire feeding system
,
Fuzzy inference
,
RBF neural network
,
PID control
,
Energy saving effect
© 2024 Yueping Guo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
