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    the finishing mill (the next mill in the production line). Such un-
    evenness has to be manually and periodically compensated by
    an operator. Corrections are made by adjusting a tilting signal
    (Fig. 2) to produce a differential reference signal for the hy-
    draulic actuators on each side of the mill. Manual correction is
    a tedious task as well as being error prone, since it is based on
    visual inspection to compensate large visible deviations (by an
    operator whose workplace is 60 m from the mill).This paper describes a project aimed at designing and imple-
    menting a computer-based system that will automatically gen-
    erate the tilting signal from the mill operation data. The goal is
    to improve output strip quality, as the correction signal can be
    continuously applied before the uneven thickness effect is vis-
    ible. Section II describes the actual process and proposed com-
    pensation system. In Section III, the mathematical model of the
    rolling process is described. Section IV presents its adjustment
    and real-time validation. Section V explains implementation de-
    tails, experimental results, and conclusions.
    II. AGC AND UNEVENNESS COMPENSATION
    In a hot rolling mill, the plate thickness is reduced by pulling
    the plate between two parallel rolls. The upper roll position
    is controlled, and the lower backup roll position is only cali-
    brated by means of a set of wedges, in order to assure a hor-
    izontal rolling line. Before reaching the rolling mill, the plate
    achieves a uniform temperature (around 1250 C) in reheating
    furnaces. The plate thickness reduction is achieved in a series
    of passes, two spray headers clean and cool the plate after each
    pass. Cooling may induce a nonuniform temperature along the
    plate, leading to variable hardness.
    While the material is being rolled, AGC systems are applied
    to keep output thickness target range. Deviations which the
    AGC tries to correct can be classified in two groups: irregu-
    larities in the material (input thickness, slab temperature) or
    irregularities in the mechanical equipment (roll eccentricity,
    rolls thermal deformation, backup rolls lubrication). The rolls
    position reference calculated by the AGC signals two fast
    hydraulic positioning systems on both sides of the load roll
    (north and south sides) [2] (Fig. 2).
    Most operating AGCs in industry have been designed by
    using single-input–single-output (SISO) models, considering
    mean thickness values at both ends. The AGC corrections are
    implemented by using hydraulic positioning systems regulated
    by a stand controller, which adjusts a servo-valve position
    according to the position of each roll as calculated by the AGC
    [3] (Fig. 3).
    To compensate for asymmetries in the roll pack and mill
    frame, a tilting base signal is calibrated offline. However,
    there are other causes of unevenness, such as a nonuniform
    incoming thickness, or hardness along the transversal rolling
    direction, that produce visible thickness deviations. They are
    manually compensated online, by means of the tilting signal,which produces a differential reference signal to the hydraulic
    actuators on each side of the mill.
    In developing a system to automatically take into account the
    effect of unevenness, two options appear.
    1) Replace all AGCs. Existing AGCs fail in compensating
    for plate thickness variationwhen they are based on scalar
    models (using themean values of the variables at the north
    and south sides). It is suggested to use a multivariable
    stand controller, based on a multivariable model of the
    rolling process, which takes into account thickness varia-
    tions along the transversal rolling direction [4]. It implies
    the setup of a new complete experimental AGC, a com-
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