Fuzzy logic controller Fuzzy logic control is a tool that can transfer an operator’s knowledge in a linguistic form into a controller. This means that operator experience becomes a part of control algorithms imitating human reasoning. Instead of exact numerical values, fuzzy logic controllers operate with linguistic values like low, high, medium, sufficient, etc. This
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Fuzzy logic controller
After reading this article you will..
- learn to know the main parts of the fuzzy controller and the operations connected to these.
- have an example of a simple fuzzy control problem.
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
Edited by:
Professor Emeritus Kauko Leiviskä, University of Oulu
Based on: Leiviskä, K., Methods (Chapter 3). In: Leiviskä, K. (ed), Process and Maintenance Management, (Book 14), Papermaking Science and Technology. 2nd edition. Jyväskylä, 2009, Paper Engineer’s Association/Paperi ja Puu Oy. pp. 28–71.
References:
- Driankov, D., Hellendoorn, H. and Reinfrank M. (1993). An Introduction to Fuzzy Control. Springer, Berlin. 316 p.
- Wang, L.-X. (1994). Adaptive Fuzzy Systems and Control, Design and Stability Analysis. Prentice Hall, Englewood Cliffs, New Jersey.
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This page has been updated 15.11.2020
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