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
Particle Swarm Optimisation Particle Swarm Optimisation (PSO) is a population based stochastic optimisation technique developed by Eberhart and Kennedy in 1995, inspired by the social behaviour of bird flocking or fish schooling. 1,2 PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system initialises with a population of random solutions
Authors & references
Authors:
Professor Emeritus Kauko Leiviskä, University of Oulu
References:
- Eberhart, R. C. and Kennedy, J. A new optimizer using particle swarm theory. Proceedings of the sixth international symposium on micro machine and human science pp. 39-43. IEEE Service Center, Piscataway, NJ, Nagoya, Japan, 1995. [Online] Available from: https://pdfs.semanticscholar.org/8263/efcbc5e6b3c7c022b1131038b888babc8548.pdf [Accessed 17th March 2020].
- Eberhart, R. C. and Shi, Y. Particle swarm optimization: developments, applications and resources. Proc. Congress on evolutionary computation 2001 IEEE Service Center, Piscataway, NJ., Seoul, Korea., 2001.
- Zhang, Y. 2015. A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications. Mathematical Problems in Engineering 2015: 931256. [Online] Available from: https://www.hindawi.com/journals/mpe/2015/931256/ [Accessed 17th March 2020].
- Zhang, X., Zou, D. and Shen, X. 2018. A Novel Simple Particle Swarm Optimization Algorithm for Global Optimization. Mathematics 6:287. [Online] Available from: https://www.mdpi.com/2227-7390/6/12/287 [Accessed 17th March 2020].
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Exercises
This page has been updated 15.11.2020