DocumentCode :
2170765
Title :
Research of neural network controller based on FPGA
Author :
Baofeng, Lv ; Guoxiang, Zhang ; Jingyu, Guo ; Dan, Chen
Author_Institution :
Autom. & Electr. Eng. Coll., Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear :
2011
fDate :
9-11 Sept. 2011
Firstpage :
2237
Lastpage :
2240
Abstract :
This paper first introduces the characteristics of the neural network, and designs the neural network PID controller based on FPGA, and then designs the hardware structure of the whole temperature control system through the analysis of the serial communication FPGA, and finally the paper introduces the has software design and simulation for the temperature control system. The simulation results indicate that the neural network PID controller has a faster response speed and stronger anti-interference ability, and this system has stable performance and reliable operation, has the very good practical value.
Keywords :
field programmable gate arrays; neurocontrollers; temperature control; three-term control; anti-interference ability; neural network PID controller; neural network controller; serial communication FPGA; software design; temperature control system; Biological neural networks; Field programmable gate arrays; Pulse width modulation; Software algorithms; Temperature control; Temperature measurement; FPGA; PID controller; control algorithm; the BP neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
Type :
conf
DOI :
10.1109/ICECC.2011.6066390
Filename :
6066390
Link To Document :
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