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

fYear

2008

fDate

16-18 July 2008

Firstpage

659

Lastpage

662

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CHICC.2008.4605279

Filename

4605279