mpc-configurator

# 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