通过对斜连轧工艺塑性变形过程的分析,首先建立了斜连轧过程中速度张力的数学模型;然后提出应用动态矩阵控制设计速度式调节张力的控制系统,并且考虑实际生产中的各种约束条件,在动态矩阵控制算法中采用粒子群算法作为滚动优化方法.采用SIMULINK软件进行仿真实验,对比了传统的PID控制器和加入粒子群算法做优化后的动态矩阵控制器对斜连轧机速度张力系统的控制性能.结果表明本文设计的控制器张力的控制误差稳定在0.1%,张力波动很小,能够保证连轧工艺顺利进行,满足产品的质量要求.%Tandem Skew Rolling (TSR)process is a new metal forming process for producing hot rolled seamless steel tubes,in which the billet is pierced and rolled in two sets of rolls.In continuous rolling,the tension is an important factor to ensure smooth rolling.Therefore,ten-sion control is one of the very important issues.First,TSR process was analyzed and the mathe-matical dynamic model was established which describes relationship between tension change and roll speed change;then Dynamic Matrix Control (DMC)was adopted as predictive control algo-rithm.The step response of the tension and speed model of TSR mill was adopted as the nonpara-metric model,an optimization controller was designed to control the tension by regulating the speed of roller.Meanwhile,considering the constraints of actual production,we used Particle Swarm Optimization (PSO)algorithm for rolling optimization of the DMC controller.The dy-namic performance of speed and tension system was simulated with SIMULINK.By comparing with traditional PID controller and DMC controller based on PSO,the simulation results show the volatility of the controlled tension was very small and the error was 0.1% by the proposed control strategy.The proposed control method ensured smooth continuous process and satisfied the requirement of product quality.
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