imc-tuning-rules
CommunityIMC-based PI/PID gains for first-order systems.
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
IMC-based tuning provides a systematic method to determine PI/PID gains for first-order processes, reducing manual trial-and-error tuning.
Core Features & Use Cases
- Model-based gains for a first-order process using identified parameters K and tau.
- Computation of Kp, Ki, and Kd with a tunable lambda parameter.
- Use Case: tuning a simple heating or cooling loop, or other single-pole processes, in labs or production environments to achieve predictable closed-loop response.
Quick Start
Provide K, tau, and a lambda value to compute IMC-tuned PI gains for your first-order process.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: imc-tuning-rules Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#imc-tuning-rules Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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