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
Link To Document :
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