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SE-100-3 - Seminar on Modern Control Methods


Objectives

Process control technology evolves rapidly. This seminar will allow you to review traditional control techniques and explore new optimization methods. This will enable you to identify the techniques that are best suited to increase your plant productivity.

Who should attend

Anyone concerned with process or control loop performance: instrumentation technicians and supervisors, production managers, process engineers, electrical engineers, or project engineers. Managers can also appreciate the importance of loop tuning and the new tools that are available to improve plant productivity.

Schedule

From 8:30 am to 12:00 pm and from 1:00 pm to 4:30 pm, each day.

Content

Day 1: Process control

  • Introduction
    • Control loops
    • Noise, load, disturbances
    • Tuning objectives
  • Process
    • Simple process method
    • Types of processes
    • Process flaws
  • Controllers
    • Proportional
    • Integral
    • Derivative
    • Filter
  • Industrial controllers
    • Structure
    • Models, effects on tuning
    • When to use derivative mode

Day 2: Troubleshooting, diagnostics, tuning methods, how to do a loop audit

  • Tuning
    • Intuitive tuning
    • Traditional tuning methods
    • Natural frequency
    • Significance of dead time
    • Limits of traditional methods
    • Modern tools for tuning/troubleshooting
    • Autotune algorithms
  • Process problems
    • Noise
    • Disturbances
    • Hysteresis
    • Saturation
    • Process lead
  • Rule of four 3's
    • Amount of noise
    • Hysteresis
    • Process gain
    • Nonlinearity

Day 3: Advanced strategies and process optimization using software

  • Several examples from plants and process simulations
    • Simple and multiple loops
    • Improving performance
    • Troubleshooting loops
    • Tips and tricks
  • Special controllers
    • IMC and Dahlin controllers
    • Smith Predictor
    • PID, special algorithms, and structures
    • Others
  • Advanced strategies
    • Cascade
    • Feedforward
    • Override
    • Selection
    • Ratio control
    • Multivariable
  • Introduction to fuzzy logic and neural networks
    • Fuzzy logic
    • Neural networks
  • Conclusion
    • Tuning methods comparison
    • Time to tune loops
    • Robustness and performance
    • Practical rules
    • Process control and economics

Manual included

Fundamentals of Process Control, Michel Ruel, Levis, QC, 1995, 292 p. (not included in the price of a discounted course)

Live demos

  • Matrikon TaiJi
  • Matrikon Control Performance Monitor
  • Matrikon Control Performance Optimizer