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Book ChapterDOI

Dynamics and Control of Multiple-Effect Evaporator and Drum Washer Plants

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TLDR
In this article, state space models of an evaporator and washer plants used in pulp and paper industry are set up, and problems of optimal feedforward control are formulated using these models, and computed solutions are presented for the case of an evaporation plant.
Abstract
After a study of an evaporator model with variable liquor volume, state space models of evaporator and washer plants used in pulp and paper industry are set up. Problems of optimal feedforward control are formulated using these models, and computed solutions are presented for the case of an evaporator plant. A practical control method being tested in a washer plant.

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BookDOI

System Modelling and Optimization

TL;DR: A global convergence theorem for a basic version of the algorithm, based on a trust region, sequential quadratic programming (SQP) technique and uses a special auxiliary function, called a merit function or line-search function, for assessing the steps that are generated.
Book ChapterDOI

Dynamic modelling and optimal hierarchical control of a multiple-effect evaporator — superconcentrator plant

TL;DR: In this article, an optimal hierarchical infinite time linear regulator is designed to prevent unacceptable deviations in outlet black liquor concentration due to measurable disturbances in weak black liquor, and simulation results for a real evaporation system comprising 6 evaporators and one three-section concentrator are presented.
Journal ArticleDOI

Optimal Control of Evaporator and Washer Plants

TL;DR: In this article, the residence time distribution of the liquor in each evaporator was described by one or two perfect mixers with time delay and by-pass flow terms, and an optimal feedforward control algorithm was then derived for a two unit, co-current evaporator plant.
Journal ArticleDOI

A Reduced Order Model and a Robust Controller's Synthesis of a Black-Liquor Evaporatlon System

TL;DR: In this article, a procedure is proposed for reduction of the model order and the complexity resulting in a fourth-order linear model, which is successfully used to design a robust controller using an μ-synthesis method.
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