Author(s)

Andrew Kadik, Wilson Wang

Control Engineering, Lakehead University, Thunder Bay, Canada.
Mechanical Engineering, Lakehead University, Thunder Bay, Canada.

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.

Web Tension Control; Neural Fuzzy Approximator; Gain Scheduling; Winding/Unwinding Systems

A. Kadik and W. Wang, "Adaptive Force Control of in Web Handling Systems," Intelligent Control and Automation, Vol. 3 No. 4, 2012, pp. 329-336. doi: 10.4236/ica.2012.34038.