pid-tuner

Solid

PID controller tuning skill for loop optimization using various tuning methods and performance criteria

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# PID Tuner Skill ## Purpose The PID Tuner Skill optimizes PID controller parameters using various tuning methods to achieve desired control performance and robustness. ## Capabilities - Process identification (step tests, relay) - First-order plus dead-time (FOPDT) modeling - Tuning methods (IMC, Lambda, Cohen-Coon, Ziegler-Nichols) - Performance criteria optimization (IAE, ISE, ITAE) - Robustness analysis - Loop interaction assessment - Tuning for various objectives (setpoint, disturbance) - Bumpless transfer configuration ## Usage Guidelines ### When to Use - Tuning new control loops - Retuning underperforming loops - Optimizing control performance - Commissioning control systems ### Prerequisites - Process in stable operation - Loop components commissioned - Process model or test data available - Performance criteria defined ### Best Practices - Start with conservative tuning - Test in simulation first - Validate robustness - Document tuning rationale ## Process Integration This skill integrates with: - PID Controller Tuning - Control Strategy Development - Process Startup Procedure Development ## Configuration ```yaml pid-tuner: tuning-methods: - IMC - lambda - cohen-coon - ziegler-nichols - SIMC performance-criteria: - IAE - ISE - ITAE ``` ## Output Artifacts - Tuning parameters - Process models - Performance metrics - Robustness analysis - Tuning recommendations

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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