Title :
Decoupling control based on PID neural network for plasma cutting system
Author :
Deli, Jia ; Bo, You ; Fengjing, Zhang
Author_Institution :
Harbin Univ. of Sci. & Technol., Harbin
Abstract :
A decoupling control based on PID (proportional-integral-derivative) neural network and relevant algorithms are proposed in this paper. They are introduced to solve problems of nonlinearity and strong coupling between cutting speed and torchpsilas height in plasma cutting system. The dynamic model of system was established with use of BP (back-propagation) neural network. The actual experimental cutting result shows that decoupling control technology based on PID neural network is an effective decoupling control for cutting speed and torchpsilas height in plasma cutting system.
Keywords :
backpropagation; control nonlinearities; cutting; neurocontrollers; plasma applications; plasma torches; three-term control; PID neural network; backpropagation neural network; control nonlinearity; decoupling control; plasma cutting system; plasma torch; proportional-integral-derivative control; strong coupling relation; Automatic control; Control systems; Motion control; Neural networks; Pi control; Plasma materials processing; Plasma properties; Plasma simulation; Proportional control; Three-term control; Decoupling Control Technology; PID Neural Network; Plasma Cutting;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605279
