PID Tuner Skill
SkillDev toolsPID controller tuning skill for loop optimization using various tuning methods and performance criteria
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the PID Tuner Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/chemical-engineering/skills/pid-tuner/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
pid-tuner- Source
- github.com/a5c-ai/babysitter