Scope
This course is intended for entry-level instrumentation mechanics or experienced electricians who need to understand the concepts of advanced industrial process control. Many modern industrial process control systems go beyond the basics of process control presented in Introduction to Industrial Process Control. This course will present such topics as Cascade, Ratio and Dead Time Control as well as Feedforward and Multivariable Control. Advanced Industrial Process Control is one of three courses developed to assist the individual to have the knowledge necessary to pass the International Society for Measurement and Control’s (ISA) Certified Control System Technicians Exam (CCST).

Prerequisites: Successful completion of Introduction to Industrial Process Measurement and Introduction to Industrial Process Control or its equivalent.

 

At the conclusion of the course the participant should be able to:

• Set up the various advanced process controllers, input the proper parameters, and tune those controllers given related control system information and a software process controller.
• Troubleshoot various advanced process control applications given a software based controller detailed industrial control descriptions.

Outline

• A Review of the Fundamentals of Process Control
  • On/Off
  • Proportional
  • Integral
  • Derivative
• Cascade Control
  • Principles and application of cascade control
  • Software cascade controller laboratory
• Ratio Control
  • Principles and application of cascade control
  • Software cascade controller laboratory
• Dead Time Control
  • Principles and application of cascade control
  • Software cascade controller laboratory
• Feedforward Control
  • Principles and application of cascade control
  • Software cascade controller laboratory
• Nonlinear Compensation and Adaptive Control
  • What are nonlinearities
  • How do you compensate for nonlinearities
  • What is the role of adaptive tuning
  • General applications of adaptive control concepts
• Multivariable Control
  • Control Loop Interactions
  • How to understand and use relative gain arrays
  • Software applications of multivariable control
• Fuzzy Logic and Processor Controller Tuning
  • Digital Process Control Systems
  • Modern Paradigms