Optimization method for hot rolled strip steel roll gap model

Abstract

The invention discloses an optimization method for a hot rolled strip steel roll gap model. According to the optimization method, a roll gap setting and calculating model structure is optimized, a roll gap zero drift compensation is increased, and a roll gap zero drift offset existent in a process of calculating a roll gap setting value is reduced; and meanwhile, a data processing method for roll gap self-learning is improved as follows: oscillation of roll gap self-learning is reduced by utilizing a roll gap self-learning data screening method for removing an extremal rolling force and an extremal roll gap at the same time and a combination method of short-time genetic learning and long-time genetic learning mechanisms. Due to the adoption of the optimization method, so that accuracy of the roll gap setting value and effectiveness of roll gap self-learning are guaranteed, calculation precision of the roll gap model is greatly improved, and thickness precision of a finished-product hot rolled strip steel is further improved.

Description

technical field [0001] The invention belongs to the technical field of steel rolling automatic control, and in particular relates to a method for optimizing a roll gap model of hot-rolled strip steel. Background technique [0002] As an important quality index to measure plate and strip, thickness accuracy has become the focus of general attention in the metallurgical industry at home and abroad. One of the root causes of strip thickness fluctuations is due to fluctuations in the rolling mill roll gap. Therefore, the main reason for the thickness deviation of the strip is the problem of the roll gap, and the setting accuracy of the roll gap will directly affect the final rolling dimensional accuracy of the product. [0003] The mill bounce curve is the core basis for setting the roll gap. The roll gap value corresponding to the bounce curve under zero pressure is the zero point roll gap of the bounce curve. The zero point is not constant, it will gradually drift during th...

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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a method for optimizing the roll gap model of hot-rolled strip steel, which can solve the problem of zero point drift of the roll gap of the bouncing model in the rolling process and the problem of low accuracy of the roll gap self-learning model, so as to improve the precision of the finished strip. The setting accuracy of the steel roll gap model, so as to achieve the purpose of improving the thickness accuracy of the finished hot-rolled strip steel

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