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Process control and automation
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Process control and automation
  • Introduction to process control and automation
  • Development of process automation
    • Trends in today´s automation
    • IoT, CC and EC – What are these?
    • Big Data and Big Data analytics
    • Artificial Intelligence – yesterday and today
    • How Internet has changed the control hierarchy
  • Fibre process automation
    • Wood handling
      • Control requirements in wood handling
      • Wood handling measurements
      • Wood handling control
    • Refiner control
      • Basic controls for TMP refiners
      • Quality control of TMP refiners
      • New concept for refining control
      • Pulp quality estimation using the soft sensor concept
    • Grinding control
      • Grinder control functions
      • Grinding control strategies
    • Continuous flow digester control
      • Basic control functions in continuous digesters
      • Quality control in continuous digesters
      • Transition control in continuous digesters
    • Batch digester control
      • Basic control functions in batch digersters
      • Kappa number control in batch digesters
      • Cooking plant scheduling
    • Brown stock washing control
      • Models and calculations
      • Control functions
    • Bleach plant control
      • Requirements for bleaching control
      • Optimisation in pulp bleaching
      • Oxygen delignification
      • Stagewise controls
      • Control of mechanical pulp bleaching
  • Chemical recovery as a control object
    • Black liquor evaporation control
      • Black liquor measurements
      • Black liquor evaporation – Fouling
      • Black liquor evaporation – Modelling
    • Recovery boiler control
      • Recovery boiler — Control functions
      • Black liquor feed control
      • Temperature & char bed control
      • Combustion air controls
      • Dissolving tank control
      • Sootblowing control
    • Causticising control
      • Causticising control – functions
    • Lime mud filter control
      • Lime mud filter – Control functions
    • Lime kiln control
      • Lime kiln control – Control Functions
      • Lime kiln control – Intelligent control
  • Advances in paper machine automation
    • Paper machine as a dynamical system
      • State of the papermaking processes and its measurements
      • Dynamics of paper/board production line
      • 2D variations in web: characterisation and measurement
      • Full web measurements
    • 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
    • Monitoring and data integration
      • Information systems in pulp mills
      • Information systems in paper mills
      • Balancing process operation in the fibre line
    • Production scheduling
      • Production scheduling in pulp mills
      • Production scheduling in paper mills
    • Energy management system
      • Boiler load allocation
      • Turbine load allocation
      • Purchased power optimisation
      • Steam levelling
  • Modelling and control methods
    • Basic control algorithms
    • Adaptive control
      • Gain scheduling
      • Model reference control
      • Self-tuning controller
      • Performance monitoring 
    • Multivariable control
    • Model Predictive Controller
      • MPC Algorithms
    • Fuzzy logic control
      • What does fuzziness mean?
      • Fuzzy logic controller
    • Artificial neural networks
      • ANN – structures
      • How do the networks learn? 
      • Perceptron network
      • Recurrent neural networks
      • Self-organising maps
    • Intelligent optimisation
      • Genetic algorithms
        • Genetic Algorithm – Example
      • Particle Swarm Optimisation
    • Software sensors and sensor fusion
    • Statistical process control
      • SPC Basics
      • Cause- and -effect analysis
      • Pareto analysis
      • Control charts
      • Cusum charts
      • Capability indices
      • Principal Component Analysis (PCA)
        • Principal Component Analysis – Example

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This page has been updated 08.05.2019
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