Fuzzy Neural Network Control of Cold Tandem Rolling Thickness Based on the Intelligent Integration

Abstract:

Based on the analysis of thickness control theory, a controller combined fuzzy neural network with intellectual integration was designed in consideration of the nonlinear, large time delay, varying time characteristics of tandem cold mill thickness control. The controller adopted three layers BP network to realize fuzzy control and linked with intelligent integration in parallel for forming a three-dimensional full intelligent composite controller which enables the cold tandem rolling thickness fuzzy neural network control based on intelligent integration. Simulation results show that, compared with the conventional PID control, the compound intelligent control strategy can remarkable improved performance of control system of cold tandem rolling thickness.

• Periodical: Applied Mechanics and Materials (Volumes 278-280)
• Pages: 1585-1592
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.278-280.1585
• Online since: January 2013
• Authors: Ju Ping Zhang, Ya Li Lu, Wei Xue, Qing Hua Wu
• Keywords: Fuzzy Neural Control, Intelligent Integration, Tandem Cold Mill, Thickness Control

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