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

Abstract

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 non-linear 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.