TITLE:
Adaptive Force Control of in Web Handling Systems
AUTHORS:
Andrew Kadik, Wilson Wang
KEYWORDS:
Web Tension Control; Neural Fuzzy Approximator; Gain Scheduling; Winding/Unwinding Systems
JOURNAL NAME:
Intelligent Control and Automation,
Vol.3 No.4,
November
28,
2012
ABSTRACT: Winding/unwinding system control is a very important issue to web handling machines. In this paper, a novel adaptive H∞ control strategy is developed for winding process control. A gain scheduling scheme is proposed based on a neural fuzzy approximator to improve the transient response and enhance tension control; the controller’s convergence and adaptive capability can be further improved by an efficient hybrid training algorithm. The effectiveness of the proposed adaptive H∞ control is verified by experimental tests. Test results show that the developed gain approximator can adaptively accommodate parameter variations in the system and improve the control performance.