Research on precision tension control system based on neural network
Chunxiang Wang
Yongzhang Wang
Ruqing Yang
Hua Lu
Dept. of Mech. Eng., Shanghai Jiaotong Univ., China;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: April 2004
Volume: 51,
Issue: 2
On page(s): 381- 386
ISSN: 0278-0046
INSPEC Accession Number: 7964594
Digital Object Identifier: 10.1109/TIE.2003.822096
Current Version Published: 2004-04-05
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.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
