Fuzzy Control of Printing Color Based on Genetic Algorithm and Adaptive Adjustment

The controlled object has the characteristics of large lag, model uncertainty and time variation due to the influence of working environment in printing process, and the printing process requires that the number of printing adjustment should be reduced as far as possible in the situation of meeting the color quality requirements.In order to solve these problems, a T-S fuzzy controller based on the theoretical model of printing color quality control is designed, and the genetic algorithm is used to optimize the initial control rules of fuzzy controller to make them more approximate to theoretical model.Finally, aiming at the big error generating after once adjustment, the method of adaptive adjustment is put forward.Thus, printing quality can be satisfied through less than twice adjustments in theory, and the control precision of this system is improved.An instance demonstrates that this method is valid, which can be used to guide the practical printing process.