The Air-Jet Texturing and Twisting Machine's and Model Predictive Control Based on State-Space

AbstractThis paper presents the modeling and model predictive control based on state-space model of the air jet texturing and twisting machine. The system model shows the tension change in the twisting process. In designing of the Model Predictive Controller, two major objectives are considered. The first one is that the yarn tension in twisting process tracks a given reference tension; the second one is that the yarn tension with texturing process which is assumed as a step disturbance has to track the same ideal tension value. To verify the control algorithm performance, the proposed algorithm is compared with a PID controller designed with Ziegler-Nichols method. All computer simulations were completed in MIDSYS toolbox and MATLAB Simulink. The simulation study shows that the proposed model predictive control is an improvement over the PID controller for any control inputs.