Fuzzy adaptive dynamic surface backstepping control for the speed and tension system of reversible cold strip rolling mill
LIU Le
HAN Yu
FANG Yi-ming
ZHANG Chun-jiang
Abstract：Direct feedback linearization (DFL) dynamic decoupling control problem for the speed and tension system of reversible cold strip rolling mill is researched by using the dynamic surface backstepping control and fuzzy adaptive approximation. Firstly, nonlinear disturbance observers (NDOs) are developed to counteract the mismatched uncertainties in the speed and tension system, and then dynamic decoupling and linearization are realized by utilizing the DFL theory. Secondly, controller for each linear subsystem is presented by combining backstepping with dynamic surface control, which avoid the"differential explosion"phenomena during using the backstepping control effectively. Thirdly, fuzzy adaptive method is used to approximate the matched uncertainty in the designed controller, so as to improve the control precision of the speed and tension system. Stability analysis shows that the speed and tension system is uniformly ultimately bounded. Finally, comparative research of simulation is conducted by using the actual data in industrial field, and simulation results verify the effectiveness of the presented method.
Keywords：reversing cold strip rolling millnonlinear disturbance observerdirect feedback linearizationdynamic surface backstepping controlfuzzy adaptive
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：12( 355-366 )