Abstract
In the process of strip rolling, flatness and gauge control system is a time-delay, coupled and nonlinear complex system. This paper applies fuzzy RBF neural network (FRBF) to cold tandem rolling, and presents a kind of strip flatness and gauge multivariable adaptive control system. The simulation results show that this kind of new controller has good performances of adaptively tracking target and resisting disturbances and is superior to the conventional decoupled PID control in improving the strip flatness and gauge accuracy.
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