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
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