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WS-130-3E - Advanced Process Control Workshop


Objectives

Process control technology evolves rapidly. This hands-on workshop will allow you to learn how to use advanced control strategies (cascade, feedforward, override, multivariable, fuzzy logic, and multivariable process control techniques) and new tools for simulation and optimization. This will help you increase your plant's productivity.

Who should attend

Anyone concerned with process performance: instrumentation technicians and supervisors; production managers; process, electrical, and project engineers.

Schedule

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

Content

Day 1: Advanced strategies based on PID control

Introduction:

  • Types of processes and models
  • Non-linear processes
  • Single vs. multiple loops
PID controllers:
  • Ideal, series, parallel
  • Special structures
  • What are the limitations of PID control? 
Tuning PID controllers:
  • Traditional tuning methods
  • Significance of dead time
  • Auto tuning methods
Enhanced PID Control:
  • Syncronize ratio loops
  • Simple ways to decouple loops
  • Cascade control
  • Selective control
  • Override control
  • Coarse fine control
  • Hands-on with non-linear processes
Day 2: Beyond PID control

Handling interaction:
  • Relative gain array
  • Static and dynamic decoupling
Feedforward control:
  • Static and dynamic
  • Non-linear feedforward control
  • Using many feedforward signals on the same variable
  • Hands-on with Feedforward Control

Dynamic Modeling & Simulation to Solve Process Control Problems

  • Using Empirical models
  • Using dymanic material and energy balances
  • Hands-on 
Day 3: Advanced Process Control tools

Controller performance monitoring:
  • A single measure of controller performance
  • Four key metrics to effectively manage your control system assets
Fuzzy logic:
  • Fuzzy sets
  • Fuzzy rules
  • Fuzzification and defuzzification
  • Hands-on wht Fuzzy Logic 
Mulitvariable process control (MPC):
  • Differentiating between MPC, APC, expert systems, Fuzzy Logic, and Advanced Regulatory Control
  • The difference between feedforward, feedback, and MPC
  • Theory and components of MPC
  • Implementation of MPC
  • Hands-on with MPC 
Material

Hand-outs