Adaptive Force Control of in Web Handling Systems

Andrew Kadik, Wilson Wang

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

DOI: 10.4236/ica.2012.34038                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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