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This course will cover the major areas of control system design & 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 & optimal cont


 
Course Outline
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.  
Prerequisites & Certificates
Pre-Requisites

Certificates offered

A certificate of completed Continuing Education Units (CEUs) will be granted at the end of this course. Each participant will receive a complete set of course notes and handouts that will serve as informative references.


Cancellation Policy
If you wish to withdraw from a course, you must advise us, in writing, including the official receipt. Our policies regarding refund are:

More than fifteen business days in advance: a full refund minus $50.00 administration charge.

Fifteen or less business days in advance: a transfer to another course or a credit, valid for one year, to another GIC course can be considered. Credits are transferable within your organization.

If the course has been running for more than 2 weeks, or after the course has started, an 80% credit towards another GIC course may be considered, if notice is received before the start date of the second session. After this time, no refunds or credits will be issued. If a speaker is not available due to unforeseen circumstances, another speaker of equal ability will be substituted.

GIC reserves the right to cancel or change the date or location of its events. GIC's responsibility will, under no circumstances, exceed the amount of the fee collected. GIC is not responsible for the purchase of non-refundable travel arrangements or accommodations or the cancellation/change fees associated with cancelling them. Please call to confirm that the course is running before confirming travel arrangements and accommodations.

Refund Policy: Allow up to 30 days for refunds to be processed.

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Global Innovative Campus
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