Title :
Application of neural network in hydraulic PWM positional servo system
Author :
Xuejun, Hu ; Jie, Chen
Author_Institution :
Electron. & Inf. Sch., Wuhan Inst. of Technol., Wuhan, China
Abstract :
Unknown channel order nonlinear objects or delay systems with the recognition capability for unknown combining with PID control by recurrent neural network forms self-adapting PID control system, which bases on recurrent neural network. The system can control the liquid-operated PWM positional servo system, making it being a certain degree of self-regulation and improving the performance.
Keywords :
adaptive control; hydraulic systems; pulse width modulation; recurrent neural nets; servomechanisms; three-term control; delay systems; hydraulic PWM positional servo system; recurrent neural network; self-adapting PID control system; Artificial neural networks; Object recognition; Nerve network; PWM; position servo; self-adapting PID;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619095
