By the end of this training course, participants will be able to:

• Decide on the best type of control to implement, using a PID controller
• Understand all of the terminologies that may be encountered, using PID controllers
• Implement various open-loop tuning strategies with a PID controller
• Implement various closed-loop tuning strategies with a PID controller
• Implement strategies, which include Cascade, Ratio, Gain Scheduling, etc., using PID controllers
• Implement assorted model-based loop tuning solutions

Who is this Training Course for?

• Instrument Technicians
• C&I Engineers
• Process Control Engineers
• Chemical Engineers
• Engineers and professionals, from other fields, who have a vested interest in the processes being controlled

Daily Agenda

Process Control, Terms & Definitions and Types of Control 

• Process dynamics and assorted processes that can be encountered
• Process stability
• Process responses (including first, second, and high order processes)
• Terms and definitions, associated with process control (Gp, Td, Tc, PV Tracking, etc.)
• The different types of control that may be implemented

  The PID Controller, Default Settings & Control Strategies 

• Proportional band percentage / Gain
• Integral / Reset action
• Derivative / Rate action
• Default controller settings, for various processes
• PID combinations that can be used, for various processes
• Combined feedback and feedforward, integral windup, etc.

 Open and Closed Loop Tuning, for the PID Controller 

• Ziegler-Nichols open-loop tuning method
• Ziegler-Nichols closed-loop tuning method
• Tuning methods to satisfy overshoot constraints
• Tuning rules and guidelines
• Non-formalized (trial & error) open-loop running methods
• Non-formalized (trial & error) closed-loop running methods

 Advanced Control Strategies, Using a PID Controller 

• Cascade loops, using PID controllers
• Ratio control loops, using PID controllers
• Gain scheduling, with a PID controller
• Using a PID controller, to deal with long-dead times
• Self-tuning controllers
• Understanding Real vs ideal, saturated vs non-saturated, and controller equations

Model-based Control, for Applications where a PID Controller Would not be Suitable/Optimal 

• Using a model-based system, to deal with dead time
• Using a Smith predictor
• Understanding Internal Model Control (IMC)
• Dahlin’s controller
• Understanding and implementing Model Predictive Control (MPC)