PID controller tuning skill for loop optimization using various tuning methods and performance criteria
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill pid-tuner --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: pid-tuner
description: PID controller tuning skill for loop optimization using various tuning methods and performance criteria
allowed-tools:
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- Write
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metadata:
specialization: chemical-engineering
domain: science
category: Process Control
skill-id: CE-SK-020
graph:
domains: [domain:chemical-engineering]
skillAreas: [skill-area:mathematical-reasoning, skill-area:statistical-analysis, skill-area:physics-simulation]
workflows: [workflow:experiment-design]
roles: [role:research-engineer, role:systems-integration-engineer]
---
# 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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