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Multivariable Predictive Control

Multivariable Predictive Control

4 days
IR/MPC
Sessions
This course is not scheduled.
Who should attend?

Audience

    • Engineers, technicians and operation supervisors involved in the design, implementation and maintenance of Advanced Predictive Control (APC) projects.

Level

  • Advanced
  • This course provides advanced & practical knowledge of multivariable predictive control.
Learning Objectives
  • Upon completion of the course, participants will be able to:
  • learn the fundamentals of multivariable predictive control: setting time, step response, prediction, dynamic control and optimization,
  • use a software for dynamic model identification, controller design, off-line closed loop simulation, robust tuning,
  • enhance skills required to specify, execute and maintain an APC application.
Course Content

INTRODUCTION TOPICS

0.5 day

  • PID limitations and the need for advanced control.
  • Basics of multivariable predictive control.
  • Presentation of APC architecture and lab exercise toolbox: Axens S2 APC suite.

MODEL IDENTIFICATION

1 day

  • Data pre-processing: noise elimination and concatenation of data sets.
  • Model building: identification techniques, validation and model reduction.
  • Dynamic model matrix assembly and export to controller.
  • Lab exercise: hands on tutorial and development of Gasoline Desulfurization Unit model (GDU model).

DYNAMIC SIMULATION

1 day

  • Open-loop predictions for model validation.
  • Closed-loop control and robust tuning.
  • Introduction to on-line optimization: LP cost and external targets.
  • Lab exercise: hands on tutorial and development of simulation for control of GDU.

AUTOMATED STEP TEST

1 day

  • Off-line sequence design, tuning and simulation.
  • On-line execution and follow-up.
  • Lab exercise: hands on tutorial and development of automated step test simulation for GDU.

APC PROJECT METHODOLOGY & OVERVIEW OF ON-LINE TOOLS

0.5 day

  • Application build: configure.
  • Real time management: monitor.
  • Production interface: web access.
  • Maintenance: report.
Ways & Means
  • Developed with the assistance of AXENS - IFP Group Technologies. About 30% of the course is devoted to workshops using AXENS software tools.