Individual skill
imc-tuning-rules
Calculate PI/PID controller gains using Internal Model Control (IMC) tuning rules for first-order systems.
tasks/hvac-control/environment/skills/imc-tuning-rules/SKILL.md
Source commit f860ecf02ef53412a030f8661c83d644b739ff01
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,915
- Repository last updated
- Nov 4, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- benchmark Repository topic
- skillsbench Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# IMC Tuning Rules for PI/PID Controllers
## Overview
Internal Model Control (IMC) is a systematic method for tuning PI/PID controllers based on a process model. Once you've identified system parameters (K and tau), IMC provides controller gains.
## Why IMC?
- **Model-based**: Uses identified process parameters directly
- **Single tuning parameter**: Just choose the closed-loop speed (lambda)
- **Guaranteed stability**: For first-order systems, always stable if model is accurate
- **Predictable response**: Closed-loop time constant equals lambda
## IMC Tuning for First-Order Systems