DocumentCode
3164894
Title
Study on the simulation and application of hydraulic servo system of crankshaft straightening machine based on immune neural network PID control algorithm
Author
Shuguang, Ding ; Hua, Zhai ; Guisheng, Gui ; Hua, Li
Author_Institution
Sch. of Mech. & Automobile Eng., Hefei Univ. of Technol., Hefei, China
fYear
2011
fDate
16-18 April 2011
Firstpage
5315
Lastpage
5319
Abstract
The principle of immune feedback and immune-neural network PID algorithm are respectively introduced in this paper. An immune-neural network PID controller is designed by which an adaline neural network is selected as antibody inhibition and adjustment function and the parameters of immune-neural network PID controller are determined by simulation. The transfer function of hydraulic servo system of crankshaft straightening were introduced in different working conditions. The immune-neural network PID controller was applied to hydraulic servo system of crankshaft straightening. The results of simulation and equipment operation shows that it has better control effect and can meet the needs of the hydraulic servo system of crankshaft straightening machine.
Keywords
hydraulic systems; machining; neurocontrollers; servomechanisms; shafts; three-term control; adaline neural network; antibody inhibition; crankshaft straightening machine; hydraulic servo system; immune neural network PID control algorithm; Algorithm design and analysis; Artificial neural networks; Immune system; Process control; Servomotors; Stability analysis; Transfer functions; immune control algorithm; neural network; simulation; straightening machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5769099
Filename
5769099
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