journal article·2021-12-20Open access

The effect of process design on refiner pulp quality control performance

Johan Sund, Christer Sandberg, Anders Karlström, Göran Thungström, Per Engstrand

Abstract

Abstract In this study, the effect of process- and online analyser configuration on pulp quality control is explored. The following parameters were included: analyser sampling interval, time delay, measurement error magnitude, and latency chest residence time. Using different values of parameters in a process model, a range of configurations were constructed. For each configuration, the achievable control performance was evaluated using an optimization approach. PI controller settings were chosen based on minimization of the integrated absolute error (IAE) in pulp quality after an input step disturbance. The results show that reducing the sampling interval improves performance also when the interval is smaller than the chest residence time or the analyser delay. Moreover, reducing the chest residence time can reduce the IAE by up to 40 %. However, reducing the residence time to lower than 1/3 of the sampling interval does not improve performance. Further improvement is possible if the analyser delay is reduced. The compromise between reducing the IAE and avoiding creating variation by acting on measurement error has a strong influence on the results. In conclusion, pulp quality control performance can be improved significantly by making changes to the studied configuration parameters.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Fault Detection and Control Systems · Advanced Control Systems Optimization · Mineral Processing and Grinding

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

6311 Mid Sweden University , Sundsvall , Sweden

Holmen Paper , Norrköping , Sweden

Department of Electrical Engineering , Chalmers University of Technology , Göteborg , Sweden

Department of Electronics Design , 6311 Mid Sweden University , Sundsvall , Sweden

FSCN, Department of Chemical Engineering , 6311 Mid Sweden University , Sundsvall , Sweden

Funding

Stiftelsen för Kunskaps- och Kompetensutveckling

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