Advanced Process Control: Principle and Application in Industry

About The Course
The training is arranged for the process or control engineer who is familiar with traditional control but has little or no experience in designing,
installing, commissioning and maintaining advanced control applications. The APC training includes a broad range of techniques and technologies
implemented within industrial process control systems. Application
examples can also based on participant request/background.
The training provides comprehensive coverage of the major advanced
control techniques that are most commonly used in the process industry. This includes: advanced regulatory control (cascade, override, ratio, three element controls, split-range, auctioneering, etc.), multivariable control
(Decoupling control and dead time compensation), tools for monitoring control system performance, on-demand and adaptive tuning techniques, model predictive control, PID Tuning optimization, data analytics for
continuous processes, fuzzy logic control, and advancements in PID for use with wireless measurements. Since many engineers may work with an existing DCS or PLC that does not support advanced control, a session of the training is dedicated to tools and techniques that useful in integrating advanced control tools into an existing control system. Also, one session
addresses how dynamic process simulations may be easily created in a DCS to support checkout and operator training on the use of advanced control.
Design for
Engineer, Supervisor, Maintenance, Process and Instrument Technician
Training Objective
After completing this course, participants will be able to:

  • Monitor and evaluate the control performance
  • Tune the controllers (manual or automatic tuning)
  • PID controller Optimization
  • Analyze the plant data for process optimization
  • Operate the tuning window in DCS platform
  • Integrate advanced control tools into an existing control system
  • Optimize the operation of the process plant

Course Content

  1. Regulatory and Advanced Regulatory Control (Cascade, Split-range, Override, Ratio and Three Elements Control)
  2. Multivariable Control: Decoupling Control and Dead Time Compensation
  3. Evaluating Control System Performance
  4. On-demand Tuning
  5. Adaptive Tuning
  6. Fuzzy Logic Control
  7. Intelligent Proportional Integral and Derivative
  8. Continuous Data Analytics
  9. Simple model predictive control (MPC)
  10. MPC Integrated with Optimization
  11. On-line Optimization

Training Methods

  • Tutorial/Class
  • Software Simulation and Demo
  • Workshop/Practices
  • Interactive Discussions


  • Advanced Regulatory Workshop
  • Adaptive Tuning Workshop
  • Fuzzy Logic Control Workshop
  • Intelligent PID Workshop
  • MPC Integrated with Optimization Workshop
  • On-demand Tuning Workshop
  • Process Simulation Workshop
  • Simple MPC Workshop

Training Duration : 4 Days