Rolling schedule optimizing method based on dynamic programming method and particle swarm algorithm
A particle swarm algorithm and rolling schedule technology, applied in metal rolling, metal rolling, rolling mill control devices, etc., can solve the problems of large amount of calculation and difficulty in timely control of plate shape and thickness.
Inactive Publication Date: 2015-07-01
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology
However, these methods have a large amount of calculation, and can only make some improvements to the distribution coefficient, and it is difficult to achieve the purpose of online timely control of plate shape and plate thickness
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[0017] In order to illustrate the specific implementation method of the patent of the present invention, taking a 7-stand strip hot rolling production line of a domestic iron and steel company as an example, the specific implementation steps of applying this method to complete the optimization of the rolling schedule are introduced.
[0018] (1) Collect existing rolling regulations and relevant rolling mill parameters, rolling force and other data and sort them out and save them in Excel data files. Table 1 shows the existing rolling regulations and related data corresponding to two steel coils;
[0019] Table 1
[0020]
[0021] (2) Acquire the data of the existing rolling regulations, and calculate the sheet crown and flatness corresponding to the regulations. Table 2 shows the initial sheet convexity and flatness;
[0022] Table 2
[0023]
[0024] (3) Discrete reduction: On the premise of keeping the thickness of the entrance of the first frame and the thickness of...
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The invention provides a rolling schedule optimizing method based on a dynamic programming method and a particle swarm algorithm, and belongs to the technical field of plate-strip hot rolling. The method is characterized by comprising the following operation steps that firstly, an existing rolling schedule, relevant rolling mill parameters and rolling force data are collected and stored in a classification mode; secondly, the plate convexity and flatness corresponding to the existing rolling schedule are calculated; thirdly, discretization is carried out on each pass rolling reduction within a range in a random mode; fourthly, optimizing searching is carried out on a particle swarm space; fifthly, when a program meets an end condition, an optimal solution is output; sixthly, it is judged that whether a constraint condition is met or not, if the constraint condition is met, the next step continues to be carried out, and if the constraint condition is not met, the operation step is returned back to the third step until the constraint condition is met; seventhly, the rolling reduction and the decision variation of each rack are calculated by utilizing the dynamic programming method, and the state variation is calculated according to a state transition equation; eighthly, an objective functional value is calculated, comparison is carried out, a minimum objective function is found, and the corresponding reduction schedule and the optimized plate convexity and the flatness are calculated; ninthly, the optimal rolling schedule is output and stored.
Description
technical field [0001] The invention belongs to the technical field of continuous hot rolling of plates and strips, and in particular relates to a rolling schedule optimization method based on a dynamic programming method and a particle swarm algorithm. Background technique [0002] The rolling schedule is the basis of the rolling production process. A reasonable rolling program is the basis for high-efficiency and high-quality production. The optimization of rolling schedule has always been a hot issue in the industry. [0003] The optimization of the rolling schedule in the traditional continuous rolling production mainly refers to the reasonable distribution of the reduction and rolling force (power) of each stand. The purpose of optimization is to make the rolling process and product quality in the best state when the parameters such as force and speed of the rolling equipment meet certain constraints. However, there are still some problems in the optimization technol...
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IPC IPC(8): B21B37/20B21B37/28
CPCB21B37/20B21B37/28
Inventor 张小平张进之王强智常建刘光明
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY