Practice in PID Control Loop Tuning and & Analysis

Hone your skills in PID control loop tuning, performance analysis, and optimization. Gain hands-on experience with real-world scenarios and advanced techniques.

This programme takes an in-depth look at closed loop control. Although the subject of many hundreds of articles, books, and courses, the basic elements of automatic process control are still widely misunderstood. Worse, the majority of control systems are misapplied. Research carried out by ISA and other bodies indicates that up to 75% of all loops will oscillate when operated in automatic.

This IIPD Global PID Control Loop Tuning and & Analysis training is designed to provide engineers and technicians with the basic theoretical and practical understanding of the process loop and how this can be applied to optimize process control in terms of quality, safety, flexibility and costs.

This training will highlight:

  • Basic process control considerations
  • Fundamentals of process control
  • Final control elements
  • Proportional, Integral and Derivative control models
  • PID tuning, Manual and Automatic
  • Advanced control algorithms

Course Details

Course : 

PID Control Loop Tuning and & Analysis 


18hours, 3 days 




Dubai, Riyadh, Dammam, Doha 


Classroom Instructor-led Training (CILT) and Virtual Instructor-led Training (VILT) 




This training is to acquaint instrumentation and control system engineers with the essentials of the IEC 61508 and IEC 61511 safety instrumented systems standards and, how they relate to the safety life cycle of developing and maintaining safety instrumented systems.

The fundamental tools will enable delegates to evaluate, design, install, and maintain Safety Instrumented Systems (SISs) and determine their Safety Integrity Level (SILs) requirements.


This IIPD Global training on PID Control Loop Tuning and & Analysis is specifically tailored for anyone involved in the process industry and industrial automation.

  • Personnel who are responsible for designing, selecting, specifying, installing, operating, and maintaining process control systems.
  • Experienced professionals who want to broaden their understanding of PID control loop tuning.

This online or offline training is also suitable for a wide range of professional but will greatly benefit:

  • Design and Electrical Engineers
  • Instrument and Process Control Engineers and Technicians
  • Mechanical Engineers and Technicians
  • Operations and Process Engineers
  • Line Managers and Supervisors

Course Contents

Below is the course content, which includes a detailed outline of topics and materials covered in the course. Explore and enhance your knowledge!

Basic process considerations

  • Definition of terms
  • Process lag, capacitance and resistance
  • Process reaction curve
  • 1st and 2nd order reactions
  • Instrumentation cabling
  • Do’s and don’ts

Final Control Element

  • Choked flow
  • Pressure recovery
  • Flashing and cavitation
  • Valve construction
  • Valve characteristics
  • Testing procedures and analysis
  • Effect of valve performance on controllability

Fundamentals of Process Control

  • ON/OFF control
  • Proportional control
  • Proportional band vs. proportional gain
  • Proportional offset
  • Reset
  • Integral action
  • Integral windup
  • Stability
  • Derivative action
  • PID control
  • Control algorithms
  • Load disturbances and offset
  • Speed, stability and robustness

Fundamentals of Tuning

  • Basic principles
  • Open loop reaction curve method (Ziegler-Nichols)
  • Default and typical settings
  • Closed loop continuous cycling method (Ziegler-Nichols)
  • Lambda tuning
  • Fine tuning
  • Tuning for load rejection vs. set-point rejection
  • Tuning according to Pessen
  • Tuning for different applications
  • Speed of response vs. robustness
  • Surge tank level control

Automated tuning systems

  • Self tuning loops
  • Adaptive control

Advanced control algorithms

  • Cascade systems
  • Feedforward and combined systems
  • Ratio control
  • Adaptive control systems
  • Dead time compensation
  • Fuzzy logic control

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