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引用次数: 2

摘要

在冷轧连轧过程中,张力控制与厚度控制相互影响较大,导致控制无效且不稳定。为了提高带钢厚度和张力控制精度,在冷连轧控制系统中设置了张力与厚度的解耦控制。应用基于遗传算法的神经网络简单自适应控制方法,设计了神经网络简单自适应控制张力与厚度多变量解耦控制系统,采用遗传算法的三层神经网络对冷轧机张力与厚度系统进行解耦。仿真结果表明,张力与量规的解耦控制是可以实现的,并且控制系统的动、静态特性都较好。
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The Decoupling Control of Tandem Cold Rolling Tension and Gauge
Tension and gauge control interact each other intensively in tandem cold rolling process, making control ineffective and unstable. In order to improve the thickness of the strip and tension control accuracy, control system of tandem cold rolling is equipped with the decoupling control of tension and gauge. Applying the method of Neural Network Simple Adaptive Control based on Genetic Algorithm, we design the Neural Network Simple Adaptive Control multi-variable decoupling control system of tension and gauge, The three layer neural network with genetic algorithm is used to decouple the tension and gauge system of cold rolling mill. The simulation result proves that the decoupling control of tension and gauge can be realized, furthermore, the dynamic and static characteristic of control system is better.
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