Research on precision tension control system based on neural network

Author

Wang, Chunxiang ; Wang, Yongzhang ; Yang, Ruqing ; Lu, Hua

Author_Institution

Dept. of Mech. Eng., Shanghai Jiaotong Univ., China

Volume

51

Issue

2

fYear

2004

fDate

4/1/2004 12:00:00 AM

Firstpage

381

Lastpage

386

Abstract

In this paper, the closed-loop tension control system, with industrial control computer as the core, direct current torque motor as the actuator, equipped with tension sensor of real-time feedback filament tension change, is researched and manufactured. The theory of a neural network is applied on the system, and this method overcame the shortcomings of the traditional proportional-integral-derivative control method, and effectively weakened the coupling action between the velocity and tension of the tension control system. Some simulation results indicated the favorable effect of the control algorithm.

Keywords

DC motors; actuators; closed loop systems; composite materials; computerised control; industrial control; machine windings; neurocontrollers; three-term control; torque motors; winding (process); actuators; closed-loop tension control system; composite material; direct current torque motor; filament winding machine; industrial control; neural network; proportional-integral-derivative control method; real-time feedback filament; tension sensor; Actuators; Computer aided manufacturing; Control systems; DC motors; Industrial control; Neural networks; Pi control; Real time systems; Sensor systems; Torque control;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2003.822096

Filename

1282026