Agent Skills: PID Tuner Skill

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

Process ControlID: a5c-ai/babysitter/pid-tuner

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/chemical-engineering/skills/pid-tuner

Skill Files

Browse the full folder contents for pid-tuner.

Download Skill

Loading file tree…

plugins/babysitter/skills/babysit/process/specializations/domains/science/chemical-engineering/skills/pid-tuner/SKILL.md

Skill Metadata

Name
pid-tuner
Description
PID controller tuning skill for loop optimization using various tuning methods and performance criteria

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

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