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Gray-box identification of dynamic models for the bleaching operation in a pulp mill
Authors:Harigopal Raghavan   R. Bhushan Gopaluni   Sirish Shah   Johan Pakpahan   Rohit Patwardhan  Chris Robson  
Affiliation:aDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2G6;bMatrikon Inc., Edmonton, Alberta, Canada T5J 3N4;cMillar Western Forest Products, Whitecourt, Alberta, Canada T7S 1N9
Abstract:The development and application of gray-box identification techniques for modelling the bleaching operation in a Bleached Chemi-Thermo Mechanical Pulp (BCTMP) mill are explained. The process is characterized as a delay dominant recycle process with significant input nonlinearities. The identification was carried out using routine operating data in which the outputs were measured irregularly. The effects of these characteristics and consequent modifications of the system identification techniques are discussed. The resulting models are being used for online prediction and model-based controller design at the mill with satisfactory performance.
Keywords:Gray-box identification   Recycle processes   Irregular sampling   Input nonlinearities   Routine operating data   Bleached chemi-thermo-mechanical pulp mill   Expectation maximization   Constrained identification
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