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Tension Control Study in the Finishing Mill of Aluminum Hot Rolling Mills based on PSO+CMAC

机译:基于PSO + CMAc的铝热轧机精加工磨机张力控制研究

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Aimed at decreasing the tension variation during transforming process of "1+4" aluminum hot rolling mills unit in one factory of Henan, we analyzed the factors affecting tension variation and improved the tension formula of hot rolling mills process considering the influence of tension on forward slip value. The tension forming process of hot rolling mills from stand 1 to stand 4 is simulated, and the tension structure diagrams of the four-stands are constructed. Due to nonlinear characteristics of the aluminum hot rolling mills tension system, conventional PID controller could not meet the requirement of the system. So we proposed the mixed control of Cerebellar Model Articulation Controller (CMAC) coupled with PID to solve the problem of online parameters control and we used Particle Swarm Optimization (PSO) algorithm to optimize PID controller parameters. By simulation, it could be found that the using of PSO+CMAC significantly reduced surplus adjustment and transition time, and strip tension coupling degree among stands was also reduced.
机译:旨在减少在河南一家工厂的“1 + 4”铝热轧机组的变换过程中的张力变化,我们分析了影响张力变化的因素,并改善了考虑到张力对前张力影响的热轧厂的张力公式滑动价值。模拟从支架1到支架4的热轧机的张力形成过程,并且构造了四支杆的张力结构图。由于铝热轧机张力系统的非线性特性,传统的PID控制器无法满足系统的要求。因此,我们提出了对小脑模型关节控制器(CMAC)的混合控制,与PID耦合以解决在线参数控制的问题,并使用粒子群优化(PSO)算法优化PID控制器参数。通过仿真,可以发现使用PSO + CMAC的使用显着降低了剩余的剩余调节和过渡时间,并且还减少了支架之间的条带张力耦合度。

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