DocumentCode :
551513
Title :
Research on the application of neural network PID to wipe film motor of molecular distillation
Author :
Changjun, Guan ; Hui, Li
Author_Institution :
Changchun Univ. of Technol., Changchun, China
Volume :
1
fYear :
2011
fDate :
4-7 Aug. 2011
Firstpage :
60
Lastpage :
63
Abstract :
In order to ensure the purity of distillation products, we need to control the wiped film speed to control the thickness of evaporation film. Thus we could realize automation of multistage molecular distillation. The BP(back propagation) neural network PID adaptive control the wiped film speed of motor is presented. It could satisfy requirements automatic production technology in multistage molecular distillation. Experiment results indicates that the method has higher precision and better dynamic characteristic when it is used in controlling the motor speed in wiped film molecular distillation system.
Keywords :
adaptive control; angular velocity control; backpropagation; distillation; evaporation; machine control; neurocontrollers; three-term control; BP neural network PID adaptive control; automatic production technology; back propagation; distillation product purity; evaporation film thickness control; film motor; multistage molecular distillation automation; wiped film speed control; Artificial neural networks; Biological neural networks; Feeds; Films; Heating; Adjusting speed; Back Propagation neural network; PID control; Wipe film molecular distillation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-9985-4
Electronic_ISBN :
978-1-4244-9984-7
Type :
conf
DOI :
10.1109/URKE.2011.6007839
Filename :
6007839
Link To Document :
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