The study for multi-variables inference control system of delignification reaction

The digester process model is analyzed by using the delignification kinetics theory, which according to the demand of cleaner production to degrade residual alkaline concentration and pollutant emitted. A multi-variable inference control algorithm based on soft sensing approach is designed, in which the active alkaline concentration and kappa number is used as control variable. The result of multi-variable inference control system, from actual continuous kraft cooking, is shown that a mass of residual alkaline concentration and the dosage of alkaline can be decreased, and the aim of cleaner production and protecting environmental was attained.