Computers & Chemical Engineering, Vol.21, No.S, 1143-1148, 1997
Subspace Identification Based Inferential Control of a Continuous Pulp Digester
In this paper we develop an inferential control scheme for Kappa Number control in a continuous pulp digester. First, a state-space model that correlates the Kappa number to an optimally selected set of liquor measurements is identified from input output data using a subspace identification technique. The model is then used to construct a multi-rate Kalman filter and a model predictive controller. Simulation results are provided to illustrate the efficacy of the approach.