Online duration: 18 hours (published online course duration).
Audience:Process Control Engineers, DCS Technicians and Supervisors.
Prerequisites: Knowledge of primary process control and PID controllers is required. Several months of plant experience, especially with a DCS, is preferred.
Course material: Training slides and MPC software examples.
$525.00
MPC700 provides online model predictive control training for industrial process-control applications. It covers the role of dynamic models, predictions and constraints in MPC design, commissioning, monitoring and maintenance.
The course examines step-response coefficients, the MPC control matrix, PID foundations, step testing, tuning parameters and linear-programming costs. It includes model-identification concepts and the use of PITOPS-TFI examples to examine process dynamics when an application or process changes.
Review PID100 for primary-control foundations and STA200 system identification for modeling. Compare APC200 for advanced regulatory structures and read the APC versus MPC guide.
Explore the related Industrial Model Predictive Control Guide before choosing your training.
Study how the components of an MPC system work together, how controller settings and costs influence decisions, and how plant trends can inform troubleshooting. Compare situations suited to advanced regulatory control with those suited to MPC. Model quality, constraints and commissioning procedures remain important application-specific considerations.
The course syllabus covers:
This is recorded video training. For software-based exercises, contact AIAPC to confirm installation, compatibility and licensing requirements before enrolling. Live classes and company team training are arranged separately by appointment.
Compare the course catalog and learning paths, or review course completion certificate requirements before choosing your training.