A Novel Approach to Modeling and Controlling Dyeing Processes

efficiency, improve product quality and detect mistaken operations during processes is obvious. However, automatic control of dyeing processes is developing very slowly. There are several reasons for this. First, because of the complexity of dyeing processes, it is difficult to develop process models taking into account all of the numerous factors which influence the final fabric shade. The actual results of dyeing are highly dependent on the physical machine. There is such a wide variety of dyeing machines-e.g., yarn package dyeing, jet dyeing, continuous dyeing-that widely applicable models are difficult to develop. Also there are many different textile fibers, fabric structures and yarn forming systems, which all have a great influence on the perceived color. Modeling is often tedious and requires a great number of experiments before producing a reliable model. Moreover, the dynamic behavior of dyeing processes is nonlinear, thus it is not easv to find appropriate forms of models: Sometime< thi lack of accuracy of the measurements may lead , to system identification problems. Second, in some cases, there is no j inexpensive and reliable instrument A novel approach to dyeing process control based on a simple kinetic model of the process is presented. This method is suitable for real-time adaptive control of dyeing processes. Thesimulation results from this model using the least-squares method to estimate the model parameters are compared to published literature data and validated experimentally. The adaptive control scheme is also tested through both computer simulation and lab experiments. The results are satisfactory and encouraging. Further research work will be conducted to improve the quality and performance