Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - RBF-ARX model·based optimal control method for moisture content in output dried cut tobacco
AU - Wang, Xiaofei
AU - Peng, Xiaoyan
AU - Yang, Yubo
AU - Peng, Hui
AU - Ruan, Wenjie
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In PID and feedforward control systems, the control loops for moisture content in dried cut tobacco are relatively independent of each other, low in control precision, poor in coordination and hard to be integrated into a full closed-loop automatic control. A model-based predictive control method was proposed, the model of the dynamic characters of drying process was created by RBF-ARX model. According to production process and technology, drying process was divided into 3 stages (start, middle and finish stages), and controlled by model-based optimized setting or predictive control method separately. To obtain optimal technical parameters, the combined influence of cylinder temperature and moisture exhaust acted at the same time on the moisture content of tobacco was taken into account. The results of application showed that: 1) The drying process was automatically controlled, and interference became unnecessary. 2) The moisture content in tobacco at start and finish stages was controlled within the set value ± 0.5%, at middle stage was controlled within the set value ± 0.2% with the standard diviation of no more than 0.10%, and the fluctuation of moisture content caused by various disturbances could be restrained quickly. 3) The amounts of over-dried tobacco at start and finish stages in a drying operation were less than 0.27% and 0.28% of throughput; the waste and breakage of tobacco reduced. The model-based predictive control method was better than controlling cylinder temperature and moisture exhaust independently, and better fit the requirements of industrial application.
AB - In PID and feedforward control systems, the control loops for moisture content in dried cut tobacco are relatively independent of each other, low in control precision, poor in coordination and hard to be integrated into a full closed-loop automatic control. A model-based predictive control method was proposed, the model of the dynamic characters of drying process was created by RBF-ARX model. According to production process and technology, drying process was divided into 3 stages (start, middle and finish stages), and controlled by model-based optimized setting or predictive control method separately. To obtain optimal technical parameters, the combined influence of cylinder temperature and moisture exhaust acted at the same time on the moisture content of tobacco was taken into account. The results of application showed that: 1) The drying process was automatically controlled, and interference became unnecessary. 2) The moisture content in tobacco at start and finish stages was controlled within the set value ± 0.5%, at middle stage was controlled within the set value ± 0.2% with the standard diviation of no more than 0.10%, and the fluctuation of moisture content caused by various disturbances could be restrained quickly. 3) The amounts of over-dried tobacco at start and finish stages in a drying operation were less than 0.27% and 0.28% of throughput; the waste and breakage of tobacco reduced. The model-based predictive control method was better than controlling cylinder temperature and moisture exhaust independently, and better fit the requirements of industrial application.
KW - Cut tobacco dryer
KW - Moisture content in cut tobacco
KW - Over-dried tobacco
KW - Predictive control
KW - RBF-ARX model
M3 - Journal article
AN - SCOPUS:84901244662
VL - 2014
SP - 26
EP - 30
JO - Tobacco Science and Technology
JF - Tobacco Science and Technology
SN - 1002-0861
IS - 1
ER -