Welcome- Themes
- Introduction to forest-based bioeconomy
- Wood products
- Natural fibre products
- Man-made bio-based fibre products
- Bio-based nanomaterials
- Recycled fibre
- Pulping and biorefining
- Energy and biofuels
- Biomass chemistry and physiology
- Material testing and product properties
- Forests and other biomass resources
- Supply chain
- Process control and automation
- Asset management
- Business and investment planning
- Environmental control and management
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Stagewise controls
After reading this article you will..
- learn the main principles of the dual-sensor control.
- learn the possibilities for intelligent control in chlorine stages.
Process control and automation
- Introduction to process control and automation
- Development of process automation
- Fibre process automation
- Chemical recovery as a control object
- Advances in paper machine automation
- Paper machine as a dynamical system
- Tasks in paper machine control and management
- Control of stock flow concentration and quality
- Machine direction control
- Cross-directional control – The static optimisation
- Cross-directional control – Dynamics
- Cross-directional control – further aspects
- Controlling functional paper properties
- Managing grade chances in the paper machine
- Managing disturbances caused by broke and recovered solids
- Millwide systems
- Modelling and control methods
Authors & references
Authors:
Professor Emeritus Kauko Leiviskä, University of Oulu
References:
- Cunningham, D. 1993. Adaptive control applications in pulp and paper. Electrical and Computer Engineering 1993. Vancouver, BC:958-961,
- Rankin, P. A., Bialkowski, W. L. 1984. Bleach plant computer control: design, implementation, and field experience. TAPPI J. 67(7):66–70.
- Bialkowski, W. L. 1983. Application of Kalman filters to the regulation of dead time processes. IEEE Transactions on Automatic Control. 28(3):400–406.
- Tessier, P., M. Savoie, M. Pudlas. 2000. Industrial implementation of an advanced bleach plant control system. Tappi Journal 83(1) 139-143.
- Goldman, J. 2014. Bleach plant control optimization using inline brightness and residual measurements along with on-line Kappa measurements. ISA 2014 Control & Safety Symposium.
- Van Fleet, R., Dion, M., Beder-Miller, S. and Biazzo, T. 2011. Modern Bleach Plant Advanced Process Control utilizing Inline Sensors and Model Predictive Control. TAPPI International pulp bleaching conference, October 5-7, Portland, OR.
- Perala, J., Kirby, R. 1999. Advanced Sequence Kappa Factor Control, Part 1 – De Kappa Control, 1999 Pulping Conference Proceedings.
- Van Fleet, R. 2002. Bleach plant performance enhanced using advanced controls. In: African Pulp and Paper Week. Durban, South Africa, Oct. 8–11.
- Zhang, X., Li, J. and Liu, H. 2016. Improved model for brightness optimisation control in the first (C95/D5) bleaching stage. Bioresources 11(2):3660-3678.
- Beder-Miller, S. and Van Fleet, R. 2015. Optimizing your process through lignin management. ISA Symposium Process Control & Safety, Houston, Texas USA, 9-12 November.
- Lampela, K., Kuusisto, L., Leiviskä K. 1996. D100-stage bleaching control with fuzzy logic. TAPPI J. 79(4):93–97.
- Corbi, J.-C., Nay, M. J., Belt, P.B. 1986. Statistical quality control in the bleach plant. TAPPI J. 69(2):60–66.
- Diaz, A. C., Orchard, R. A., Amyot R., et al. 1992. Qualitative modeling techniques for process-control and diagnosis. TAPPI J. 75(11):149-155.
Videos
Exercises
This page has been updated 14.11.2020