Process Identification & PID Tuning

This process control training course covers advanced and sophisticated 3G dynamics identification technology for isolation of fast and slow disturbances. It teaches you how to scientifically calculate PID tuning parameters without the old trial-and-error method.

Training course description:

System identification using industrial process data is a complex task in today modern chemical and manufacturing industry. Industrial data comprises of fast noise, drifts and disturbances. 

This process control training course covers advanced and sophisticated 3G dynamics identification technology for isolation of fast and slow disturbances. The 3G dynamics identification technology works well even for multivariable inputs using closed-loop data. 

The new 3G system identification technology used in this process control training course is far simpler and more powerful than any other currently practiced methods worldwide.

Moreover, this process control training course provides good foundation and skills for all DCS/PLC related PID tuning. It teaches you how to scientifically calculate PID tuning parameters without the old trial-and-error method.

The good prerequisite for this process identification and PID tuning training course is: 

Learning outcomes:

Students get a chance to learn how to: 

  • identify multivariable (multi-input) process model parameters using closed-loop and/or open-loop data. 
  • isolate disturbances and identify the true process model.
  • tune PIDs in any DCS/PLC, troubleshoot PID problems and improve PID controller performance.
  • understand important and practical concepts about DCS/PLC operations.

Audience:

Process control engineers, Instrument engineers, Lab technicians, DCS / PLC technicians and plant operators.

Duration:

Classroom training course: 2 Days (8-10 hours per day)

Online / Remote training course: 16 hours online  

Online video training course: 16 hours online

Training course program:

1st day:

  • Process model definition

  • Types of processes

  • System identification methods

  • High order process models

  • Step response coefficient models

  • Pros and cons of various dynamic models

  • Open and closed-loop tests

  • 3G disturbance rejection technology

  • Dead time estimation

2nd day:

  • Model prediction and correction procedures 

  • Open and closed-loop system identification

  • PID equation and forms

  • Advanced PID functions

  • Filter action

  • Estimation of PID tuning parameters

  • PID tuning tips

  • Start-up and chain activation procedures

  • Advanced PID optimization

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