Advanced Process ControlIR/PRCONT

Who should attend?

  • This course provides an overview of advanced technologies used to improve process control quality and efficiency.
Audience :
  • Engineers and technical staff involved in the improvement of a plant process control.

Level : Advanced

Course Content

  • CONVENTIONAL CONTROL LIMITATIONS

      • Controlled, manipulated and anticipation variables.
      • Step test. Transfer function.
      • Performance criteria of a single control loop.
      • Cascade and feed-forward control benefits.
      • Tuning and limitation of PID controllers.
      • Applications:
      • PID controller tuning on process simulator.
      • Debutanizer control improvements.
  • PREDICTIVE CONTROL: IMPROVE QUALITY OF PRODUCTS

      • Inferential control - Data Validation and Reconciliation (DVR).
      • Model Predictive Control (MPC).
      • Non linear control - Neural networks.
      • Application: cases studies of typical usage in refining process.
  • MULTIVARIABLE CONTROL: IMPROVE PROCESS EFFICIENCY

      • Multivariable control - Dynamic Matrix Control (DMC).
      • Real Time Optimizer (RTO).
      • Examples of architecture and project implementation.
      • Application: decoupled controllers studied on process simulator.
  • APC PROJECT MANAGEMENT

      • APC project cost & benefit.
      • APC software & hardware specification.
      • Definition of project milestones.
      • Application: APC project front end engineering design.

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • get a tool box with several APC technologies,
  • select one of these technologies according to process challenges,
  • estimate cost and benefit of APC (Advanced Process Control) implementation.

Ways & Means

  • Case studies.
  • Use of a process simulator.