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
Multivariable control Multivariable control means the replacement of conventional compensation technology by computerised methods. The aim is to compensate the effect of process interactions and make the entire process behave optimally. Many possibilities are available to handle multivariable systems. One is to use analogue compensators that try to consider interactions. The computer control uses the
Authors & references
Authors:
Professor Emeritus Kauko Leiviskä, University of Oulu
References:
- Balchen, J. G. and Mummé, K. I. 1988. Process Control Structures and Applications. Van Nostrand Reinhold, New York
- O’Reilly, J. 1987. Multivariable Control for Industrial Applications. Peter Peregrinus Ltd., Exeter.
- Haurani, A., Taha, O., Michalska, H. and Boulet, B. 2001. Multivariable control of a paper coloring process; a case study. In: Proceedings of the American Control Conference. Arlington, VA, June 25-27. Vol. 3, pp. 2210-2215.
- Fu, K., Ollanketo, J. and Mäkinen, J. 2006. Multivariable CD Control and Tools for Control Performance Improvement. In: Proceedings, Control Systems 2006. Tampere, Finland, June 6-8.
- Åström, K.J., Johansson, K.H. and Wang, Q.W. Design of decoupled PI controller for two-by-two systems. IEE Proc. Control Theory Appl. 2002, 149, 74–81.
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Exercises
This page has been updated 24.11.2020