Title :
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
fDate :
4/1/2004 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2003.822096
