Pid tuner
Skill a5c-ai/babysitter/library/specializations/domains/science/chemical-engineering/skills/pid-tuner
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill pid-tunerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
PID controller tuning skill for loop optimization using various tuning methods and performance criteria
SKILL.md
2.0 KB, as published. Nobody here has run it
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