Metall. Res. Technol.
Volume 120, Number 1, 2023
|Number of page(s)||9|
|Published online||04 January 2023|
Research on high performance control strategy of slab thickness based on T-S fuzzy control
School of Information Engineering, Inner Mongolia University of Science and Technology,
2 Key Laboratory of Integrated Automation for Process Industry, Baotou 014010, China
3 Department of Informatics, Beijing University of Technology, Beijing 100124, China
* e-mail: firstname.lastname@example.org
Accepted: 15 November 2022
To address the difficulty of controlling the dynamic stability of the system after time-varying delay of the plate thickness detection at the final stand of the hot strip finishing mill. Firstly, a T-S fuzzy model based on rolling force and thickness state is established for the final stand of the hot strip finishing mill, and the maximum time delay for plate thickness detection is divided into several time delay intervals to establish a linear constant state space model of the time delay subintervals. Secondly, a distributed state feedback controller satisfying sufficient conditions for stability is solved by using the parallel distribution compensation (PDC) principle combined with Lyapunov stability theory and linear matrix inequality (LMI) methods. Simulation comparisons with current M-AGC and Smith prediction M-AGC system (Smith-AGC) show that our method can effectively reduce overshoot and oscillations in the dynamic response of the exit plate thickness when the operating conditions change and the system time delay parameters are mismatched, so that the system has better stability and dynamic performance.
Key words: monitoring automatic gauge control (M-AGC) / time-varying delay / linear matrix inequality / T-S fuzzy stability control / state feedback control
© EDP Sciences, 2023
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