This process control training course shows how to build powerful advanced process controllers inside the DCS or a PLC and how to mathematically tune new advanced process PID controllers and calculate advanced process control (APC) parameters. 

The good prerequisites for this advanced process control training course are: 

• Primary Process Control
• Process Identification & PID Tuning

Students get a chance to learn how to: 

• use real time-series plant data and identify multivariable closed-loop / open-loop process dynamics. 
• build various control schemes: cascade, constraint override, maximizing and minimizing constraint controllers, selectors, model-based controllers, dead-time compensators, feedforwards and many others inside the DCS / PLC.
• understand all advanced functions of PID and advanced process controllers.
• be able to study a process and its P&IDs and talk to the right people in the plant or control room
• use scientific process control methods and software products they will be able to calculate tuning and other DCS / PLC parameters precisely, thus eliminating trial-and-error method and generating precise, optimized control action.
• be careful while activating and commissioning new control schemes, avoiding mistakes and starting up a control chain in the right sequence.
• use traditional advanced process control (APC) and when to use multivariable model predictive control (MPC), a very practical and useful skill.

Process control engineers, Advanced process control engineers, Instrument engineers, DCS / PLC technicians, Managers and Supervisors.

Classroom training course: 3 Days (8-10 hours per day)

Online / Remote training course: 24 hours online  

Online video training course: 21 hours online

1st day:

• Process control hierarchy
• Introduction to advanced process control (APC) 
• Need for advanced process control (APC)
• Benefits of advanced process control (APC)
• Maximize profit and minimize costs by advanced process control (APC) 
• Feedforward control 
• Decoupler control 
• Advanced cascade control
• Advanced process control (APC) tuning guidelines
• Constraint override selector control 

2nd day:

• Long chain control schemes 
• Start-up and chain activation procedures
• More advanced process control (APC) schemes
• Model-based control
• Bias update in advanced process control (APC) 
• GC-based online correction
• PV sample hold
• Rigorous models in advanced process control (APC) 
• Dead-time compensation

3rd day:

• Internal model-based control 

• Identify process dynamics based on operator experience 

• Identify process dynamics based on DCS trends 

• Advanced system identification and PID / APC optimization

• Identification of SISO closed-loop process models

• Identification of SIMO closed-loop process models

• Identification of MIMO closed-loop process models

• Model predictive control (MPC) basics

• Rule-based control basics