Thickness adaptive fuzzy control method for aluminium plate band rolling mill

Abstract

The present invention relates to a thickness control method of aluminium strip and sheet mill. It is characterized by that it can make traditional PID control and fuzzy control be organically combined together, utilizes the factors of thickness-measuring instrument signal and quantization factor defined by specialist to create the fuzzy relationship between thickness error and error variable rate and PID parameter regulation quantity, and adopts the following steps: utilizing fuzzy operation to obtain control table, making the thickness error obtained by measurement and variable rate of thickness error implement obfuscation, making comparison is universe of discourse, taking correspondent regulation quantity of PID parameter from control table, superimposing it on the PID control control parameter, then utilizing hydraulic system of rolling mill to set the required clearance between rolls so as to implement regulation and control of rolling mill thickness.

Description

Technical field [0001] The invention relates to the production of industrial aluminum strip and foil, particularly a method for controlling the thickness of aluminum strip rolling mills, in particular to the method of combining intelligent fuzzy control and traditional PID control to control the thickness of the rolling mill during the processing of aluminum strips, and belongs to non-ferrous metal processing. Technical field. Background technique [0002] In the process of aluminum plate and strip processing, the parameters of the rolling mill thickness adjustment system and the adjustment gain change frequently, and the rolling process has strong nonlinear factors. Conventional PID control systems have disadvantages such as difficulty in parameter tuning and poor control quality, especially in rolling The thickness of the product varies greatly from head to tail. [0003] Fuzzy control does not depend on the precise mathematical model of the controlled object, and is particular...

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Problems solved by technology

[0004] Since the pure fuzzy theoretical controller has proportional differential function, there must be steady-state error and its adaptability is low; in addition, for the time-delay system, due to the complexity of the rolling process, manual control experience is difficult to obtain stably, fuzzy The control performance of the control must rely on the traditional PID control, otherwise it is easy to oscillate or even diverge

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