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- W2380142296 abstract "The control system of leveler,what is belonged to the Steel rolling equipment,is the main subject for studying in the article.There are many shortcomings in the existing roll gap control system.For example,inaccuracy of the system model in the domain,non linear characteristics,the problem to be established difficultly,for solving these problems,it is suggested that the algorithm based on the BP neural network for optimizing the pid parameters.Combined with the actual situation,the algorithm is applied to the upper roll gap control system.With the simulation of the computer,the result indicates that the dynamic performance and error of the control system are both improved.So it can increase the adaptability and accuracy of the roll gap control system." @default.
- W2380142296 created "2016-06-24" @default.
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- W2380142296 date "2012-01-01" @default.
- W2380142296 modified "2023-09-24" @default.
- W2380142296 title "Application Research on Modification of Leveler Control System" @default.
- W2380142296 hasPublicationYear "2012" @default.
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