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Asociado certificado

Customized - Modern control methods and optimization of industrial processes


Objectives

Technology in the process control field evolves rapidly. This seminar will permit you to review traditional control techniques and new optimisation methods. As a result, you will be able to evaluate which techniques will help increase your plant's productivity. Moreover, you will discover new ways of meeting process objectives for today and the process challenges of tomorrow.
Who should attend

Instrumentation technicians and supervisors, production managers, process and electrical engineers, project engineers. In fact, anyone concerned with control loop performance. Even senior managers will appreciate the importance of proper loop tuning.
Instructors

Michel Ruel, a registered professional engineer, professor, software developer, consultant and author of several technical publications. Mr. Ruel holds a B.Sc. in electrical engineering and was a professor of instrumentation and control at College Levis-Lauzon and University of Sherbrooke. He converts his experience into a very user-friendly presentation and teaching style.
Content

Day 1 - Process control

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


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

Tuning
  • Intuitive tuning
  • Raditional tuning methods
  • Natural frequency
  • Importance of delay
  • Limits of traditional methods
  • Modern tuning and troubleshooting methods
  • Self-tuning algorithms
Process problems
  • Noise
  • Disturbances
  • Hysterysis
  • Saturation
  • Inverse transitory response
Tuning of four-3
  • Noise level
  • Hysterysis
  • Process gain
  • Non-linearity


Day 3 - Advanced function strategies, 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
  • Hysterysis measurement
  • Statistical evaluations
  • Measurement of noise, linearity and asymmetry
  • Optimization based on different performance characteristics
  • Examples will be presented and real process simulations will be used to explain:
    • Simple and multiple loops
    • Loops that have been improved using modern strategies
    • Use of fuzzy logic
    • Examples of simple but effective strategies
    • Other
Conclusions
  • Methods comparison
  • Time
  • Results
  • Effectiveness, tightness
  • Comparative example

Manual used

Ruel, Michel, Process control
Software used

  • ExperTune (latest revision)