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
yaml
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