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Customized - Modern Control Methods and Optimization of Industrial Processes


Objectives

In the process control field, technology evolves rapidly. This seminar will allow you to review traditional control techniques and to examine new optimisation methods. As a result, you will be able to evaluate which techniques can help increase your plant productivity.

Who should attend

Instrumentation technicians and supervisors, production managers, process and electrical engineers, project engineers. In fact, anyone interested in control loop performance; even senior managers will appreciate the importance of proper loop tuning.

Content

Day 1 - Process control

Introduction:
  • Control loops
  • Noise, disturbances, load
  • Control objectives
Process:
  • Simple model
  • Process types
  • Process flaws
Controllers:
  • Proportional
  • Integral
  • Derivative
  • Filter
Industrial controllers:
  • Structures
  • Models, effects on tuning
  • When to use a derivative mode

Day 2 - Troubleshooting, diagnostics, and traditional and modern tuning methods

Tuning:
  • Intuitive tuning
  • Traditional tuning methods
  • Natural frequency
  • Importance of delay
  • Limits of traditional methods
  • Modern tuning and troubleshooting methods
  • Self-tuning algorithms
Process problems:
  • Noise
  • Disturbances
  • Hysterisis
  • Saturation
  • Inverse transitory response
Tuning of four-3:
  • Noise level
  • Hysterisis
  • Process gain
  • Non-linearity
Day 3 - Advanced function strategies and process optimization with software tools

Special controllers:
  • Internal model controllers (Dahlin)
  • Smith predicators
Advanced strategies:
  • Cascade
  • Feedforward
  • Override
  • Selection
  • Links
Introduction to fuzzy logic:
  • Fuzzy logic
  • Neural networking
Optimization using software support:
  • Hysterisis measurement
  • Statistical evaluations
  • Measurement of noise, linearity, and asymmetry
  • Optimization based on different performance characteristics
  • Examples and real process simulations will be used to explain:
    • Simple and multiple loops
    • Loops that have been improved with modern strategies
    • Use of fuzzy logic
    • Examples of simple but effective strategies
Conclusions:
  • Comparison of methods
  • Time
  • Results
  • Effectiveness, tightness
  • Comparative example

Manual used

Fundamentals of Process Control, Michel Ruel, Levis, QC, 1995, 292 p.

Software used

ExperTune (latest revision)