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SE-102-2E - Seminar on Process Control Improvement and Management


Overview

This seminar will show you how to improve control loop performance not only through tuning, but also by diagnosing valve and process problems and interaction, incorrect control strategy, and also through novel monitoring techniques. Many examples from a wide variety of industries will be presented.

Who should attend

Anyone working with control loops on a daily basis

Schedule

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

Content

Day 1

  • Introduction to Process Control Improvement
  • Control loop design and function
  • How controllers handle process variability
  • Controller performance objectives

Types of Processes to Control

  • Developing simple models
  • Flow, pressure, temperature and self regulating processes
  • Level and other integrating processes
  • Class exercise

The PID Controller Explained

  • Proportional, Integral, and Derivative
  • Industrial algorithms used
  • How to handle noise

Methods to Tune and Optimize PID Controller Performance

  • The problems with traditional tuning methods
  • Scientific tuning methods and 'rules'
  • Determining which tuning 'rules' meet your process needs
  • Using your process characteristics to tune loops
  • Demonstration: Tools to tune loops safely and quickly

Day 2

Diagnosing Process and Valve Problems

  • Valve backlash
  • Sticky valves
  • How oversized valves can increase process variability
  • Determining and dealing with process non-linearities

Steps to Optimize a Process

  • Steps to be taken
  • Data required
  • Expected results and benefits

Optimizing the Performance of Cascade, Ratio, and Interacting Loops

  • When to use cascade loops
  • Traditional steps to tune cascade loops
  • When to use ratio loops
  • Tuning or synchronizing ratio loops
  • Demonstration: Tools to tune cascade loops in automatic mode
  • Methods to handle loop interaction

Control Loop Monitoring Techniques

  • What can be learned from normal operating data
  • A single measure of loop performance
  • Oscillation detection
  • Stiction detection
  • Data required to automatically monitor your process
  • Diagnosing incorrect tuning