LIU Sui-jun, YANG Lin-chao, ZHANG Ping and et al. An intelligent PID control model of shredded tobacco blending based on fuzzy neural network[J]. Journal of Light Industry, 2015, 30(3-4): 39-43. doi: 10.3969/j.issn.2095-476X.2015.3/4.009
Citation:
LIU Sui-jun, YANG Lin-chao, ZHANG Ping and et al. An intelligent PID control model of shredded tobacco blending based on fuzzy neural network[J]. Journal of Light Industry, 2015, 30(3-4): 39-43.
doi:
10.3969/j.issn.2095-476X.2015.3/4.009
An intelligent PID control model of shredded tobacco blending based on fuzzy neural network
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Nanyang Cigarette Factory, China Tobacco He'nan Industrial Co., Ltd., Nanyang 473007, China
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Received Date:
2014-12-10
Available Online:
2015-09-15
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Abstract
To optimize the PID control of tobacco primary processing and increase the instantaneous precision of shredded tobacco blending,an intelligent PID control model FNN-PID based on fuzzy neural network was proposed. The intelligent fuzzy quantization was conducted according to the demand of shredded tobacco blending ratio and production dynamic data. By comparing the expert knowledge base, and combining with the analysis of intelligent reasoning machine, the ratio adjustment parameter of shredded tobacco blending was decided to take part in the feedback PID control. The practical application results showed that by using this model to control the relative parameters, the instantaneous accuracy was improved significantly, and the system fluctuation was reduced, and consequently the processing requirements of high grade cigarette could be met.
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Proportional views
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