Adaptive Force Control of in Web Handling Systems

• 作者: Andrew Kadik Wilson Wang
• 来源期刊: 智能控制与自动化(英文)
• 学科: 工学
• 关键词: WEB Tension Control NEURAL Fuzzy Approximator GAIN SCHEDULING Winding/Unwinding Systems
• 年，卷（期）: 2012,（4）
• 页码范围: 329-336
• 页数: 8页
• 分类号: TP2

摘要

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.