Tuning of Industrial Process Controllers (1.2 CEUs)

Posted by Global Innovative Campus on Thursday, January 12, 2012

Start Date Thursday, February 23, 2012
End Date Friday, February 24, 2012

Location
Toronto, ON

Link
www.gic-edu.com/coursedetail.aspx?id=889

Full Details

This course will cover the major areas of control system design and implementation for many industrial applications. Emphasized will be PID control design, but related methods such a lead/lag compensators will be examined as well as adaptive and optimal controls. In all cases, practical applications to temperature, pressure, level and velocity and positioning control are of interest. Several case studies will be considered.

Objective

The objective of this course is to show methods for practical implementation of controllers in industrial settings. Issues of tuning and scaling will be covered along with architectures of cascade, ratio, and feedforward methods, along with an introduction to internal model based methods.Target Audience

The target audience would include mechanical, electrical and chemical engineers, along with technicians with a strong theoretical interest.Program Outline (1.2 CEUs / 12 PDHs)

Day 1

  • Dynamic systems, transfer functions
  • Open loop versus closed loop control
  • Feedback control architecture
  • PID Control and forms
  • Case study –temperature control
  • PID control tuning
  • Case study –positioning control
  • Frequency response

Day 2

  • Lead/lag compensators
  • Case study –level control
  • Cascade and Ratio control
  • Feedforward control
  • Adaptive Control
  • Optimal Control
  • Case Study –Pressure control

Special Features

Many case studies will be featured.Material Required

A laptop computer is strongly recommended.After Attending This Course You Will Be Able To:

  • Identify and label parts of a control system
  • Identify methods of PID control
  • Tune a PID controller
  • Design a Lead/lag compensator
  • Identify need and uses for cascade, ratio and feedforward control
  • Assess whether use of adaptive or optimal methods are appropriate

Instructor

Jeff Pieper, Ph.D., P. Eng., is an Associate Professor in the Schulich School of Engineering at the University of Calgary. He was educated at Queen’s University and the University of California at Berkeley.

He has experience in industrial control applications with Computing Devices, Canada, Defence Research and Development, Canada, Nortech Surveys, Malan’s Automation, Canadian Light Source, New Energy, Smart Muffler, Revolve, and other companies.

Category
Training Courses