# Pid Tuner

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

- Skill: `a5c-ai/pid-tuner` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/pid-tuner`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/pid-tuner/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/pid-tuner

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# 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