Title :
Intelligent Temperature Control System Based on Neural Network PID
Author :
Wang Xuejie ; Li Yanjun
Author_Institution :
Sch. of Inf. & Electr. Eng., Zhejiang Univ. City Coll., Hangzhou, China
Abstract :
Temperature is a very important parameter in industrial production. Based on BP neural network PID controller structure and study algorithm, neural network PID controller can be used in actual industrial processes on Kingview movement platform by using PLC technology. The results show that PID parameters can be adjusted on line by control strategy configuration, and the effect meets the need in temperature control experiments.
Keywords :
backpropagation; control engineering computing; intelligent control; neurocontrollers; programmable controllers; temperature control; three-term control; BP neural network PID controller; Kingview configuration software; PLC technology; industrial production; intelligent temperature control; Artificial intelligence; Artificial neural networks; Cities and towns; Educational institutions; Electrical engineering; Millimeter wave technology; Temperature control;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660917
