An intelligent control model for spinning quality based on hierarchy multi-process

To solve the problem of the nonlinear “inputoutput” relationship in spinning quality output characteristic value, firstly, the mechanism of yarn breaking and the key factors affecting yarn quality fluctuation were analyzed. Secondly, the quality control point and quality loss function were built, and knowledge correlation analysis between quality control points distributed in multi-process was studied. And then, the breaking strength was selected as the quality control index, a spinning quality control model based on multi-process hierarchy was proposed, and multi objective fireworks algorithm was used to solve the model. Finally, as verified by the experiment, the results were shown that the quality control model we proposed can effectively solve the nonlinear problem of the “input-output” relationship. Meanwhile, the breaking strength have been improved 1.27% and 3.40%, and the nonconforming rate of the yarn production have been decreased 23.48% and 50.00% compared with the existed model.