Cement grate cooler self-adaptive model prediction controller

Abstract

The invention discloses a cement grate cooler self-adaptive model prediction controller. Thickness of a material layer of a grate cooler is adjusted by adjusting reciprocating speed (grate speed) of a transmission structural member on a grate. Nonlinearity and variability of a model relation between the grate speed and the thickness of the material layer bring great difficulty to automatic control of the grate cooler, so that automatic control of the grate cooler is a major difficulty in the process of cement production. The cement grate cooler self-adaptive model prediction controller is applied to a grate cooler system in a cement industrial production line and designed by utilizing integral characteristics of the grate cooler. The cement grate cooler self-adaptive model prediction controller is lower in implementing difficulty, higher in implementing speed and good in implementing effect and has high in generalizability. When the cement grate cooler self-adaptive model prediction controller is applied in a certain cement plant in China, stability of under-grate pressure after the self-adaptive controller is adopted is improved greatly when compared with that before the self-adaptive controller is adopted.

Description

technical field [0001] The invention relates to a control method for a grate cooler system in the cement industry, in particular to an adaptive model predictive controller designed by utilizing the integral characteristics of the grate cooler. Background technique [0002] Cement grate cooler is one of the key equipment in the cement production line. Its main function is to cool and transport the high-temperature clinker calcined in the kiln; at the same time, it provides hot air for the rotary kiln and calciner. main equipment. [0003] The grate cooler is an air-quenched cooler, and its process flow chart is as follows: figure 1 shown. The hot clinker is unloaded from the kiln mouth to the grate bed, pushed by the reciprocating grate plate, distributed along the entire bed of the grate bed, forming a certain thickness of clinker layer, and the blown cooling air is blown in from the bottom of the grate bed, penetrates Diffusion, passing vertically through the clinke...

AI Technical Summary

Problems solved by technology

In addition, according to the results of multiple step tests, the model presents obvious uncertainty: in the first stage of the model, although they all show the same integral characteristics, the rising slope is not fixed; in the second stage of the model, less repeatable

For such a complex process, it is indeed difficult to establish an accurate model, in fact there is no method to successfully establish this model

[0014] For the automatic control of the grate cooler, if the model predictive control is adopted, the biggest problem is that the step response model of the grate cooler process is very complicated and cannot be accurately modeled

[0015] In addition, algorithms such as gray theory, neural network and support vector machine are used to establish accurate grate cooler models, but these methods basically stay at the stage of theoretical research and cannot be applied to solve problems in practice

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