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has been cited by the following article:

• 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.