| name | pid-tuner |
| description | PID controller tuning skill for loop optimization using various tuning methods and performance criteria |
| allowed-tools | ["Read","Write","Glob","Grep","Edit","Bash"] |
| 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
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