Agent skill

pid-tuner

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

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Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/chemical-engineering/skills/pid-tuner

Metadata

Additional technical details for this skill

domain
science
category
Process Control
skill id
CE-SK-020
specialization
chemical-engineering

SKILL.md

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

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