MPC Configurator Skill

Purpose

The MPC Configurator Skill supports Model Predictive Control implementation including model identification, controller configuration, and performance tuning.

Capabilities

• Step test design and execution
• Dynamic model identification
• MPC model validation
• CV/MV/DV selection
• Constraint configuration
• Objective function tuning
• Prediction/control horizon selection
• Move suppression tuning
• Performance monitoring

Usage Guidelines

When to Use

• Implementing new MPC applications
• Retuning existing MPC controllers
• Identifying process models
• Optimizing MPC performance

Prerequisites

• Regulatory control stable
• Step test data available
• Process constraints identified
• Economic objectives defined

Best Practices

• Ensure quality step test data
• Validate models thoroughly
• Start with conservative tuning
• Monitor controller performance

Process Integration

This skill integrates with:

• Model Predictive Control Implementation
• Control Strategy Development
• PID Controller Tuning

Configuration

mpc-configurator:
  platforms:
    - DMCplus
    - RMPCT
    - Pavilion
    - Honeywell-RMPCT
  identification-methods:
    - step-response
    - subspace
    - prediction-error

Output Artifacts

• Process models
• Controller configuration
• Tuning parameters
• Validation reports
• Performance metrics