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,tension control is one of the very important issues.First,TSR process was analyzed and the mathematical dynamic model was established which describes relationship between tension change and roll speed change;then Dynamic Matrix Control(DMC)was adopted as predictive control algorithm.The step response of the tension and speed model of TSR mill was adopted as the nonparametric 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 dynamic 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.