基于粒子滤波的高浓度染料色泽软测量模型辨识方法

为了解决高浓度混合染料间歇染色过程织物色泽的在线测量问题,即非线性色泽软测量,提出了基于粒子滤波的软测量方法,该方法通过测定间歇染机内染液的吸光度,采用粒子滤波算法来估计该染液中各染料浓度,再根据染料浓度与织物色泽的软测量模型计算出染机内织物色泽。以3种活性染料拼染纯棉为例,对该方法的可行性进行验证。实例证明,基于粒子滤波的软测量方法的色泽估计值与人工离线实测值之间的色差值在1.0 CIELAB之内,模型的估计值能够满足工艺要求。因此,该方法是有效可行的。

Identification for soft-sensing color model based on particle filter

In order to measure the color of fabric in the batch dyeing using multi-dyes,a soft-sensing technique based on particle filter is proposed.It uses the particle filtering method to predict the concentration of dyes through the absorbance of dye liquor in the jet dyeing machine and then develops a soft-sensing model applied to predict the color of fabric.The feasibility and validity of the proposed technique in this research is verified by its application to real examples.The results show that the soft-sensing system has better measuring precision and their color differences are all less then 1.0 CIELAB,which meets the technical requirements of dyeing industry.