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