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Motor FOC Control
by
yongjie666888
· GitHub ↗
· v2.1.0
· MIT-0
167
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0
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0
Active Installs
1
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Install in OpenClaw
/install motor-foc-control
Description
FOC磁场定向控制深度指南 | 深入讲解FOC原理、SVPWM、MTPA、弱磁控制、龙贝格观测器，配合实测案例、C代码和PI整定脚本
Usage Guidance
This package appears to be an on-topic FOC guide plus a small local Python PI-tuner. It does not request credentials or perform network installs. Before using: (1) review and, if needed, run the Python script in a controlled environment — it may require numpy/matplotlib to generate plots; (2) treat tuning outputs as initial suggestions only — incorrectly applied PI gains on real hardware can damage drivers, motors, or cause unsafe behavior, so validate in simulation or on a safe testbench with current/voltage limits; (3) if you plan to copy code into embedded firmware, inspect any translated/added C code for platform-specific assumptions (timers, ADC scaling, deadtime). Overall the skill is coherent and self-contained.
Capability Analysis
Type: OpenClaw Skill
Name: motor-foc-control
Version: 2.1.0
The skill bundle is a legitimate technical resource for Field Oriented Control (FOC) in motor engineering. It contains educational documentation (SKILL.md), a reference guide for motor parameters, and a Python utility (foc_pi_tuner.py) for calculating PI controller gains. The Python script performs purely mathematical calculations and generates stability plots using standard libraries (numpy, matplotlib) without any network activity, unauthorized file access, or suspicious execution patterns.
Capability Assessment
Purpose & Capability
The name/description (FOC guide, SVPWM, MTPA, weak-field, SMO, PI tuning) match the included files: a long SKILL.md guide, a quick-reference sheet, and a local Python PI tuner script. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
SKILL.md is a technical guide and code examples; it does not instruct the agent to read unrelated system files, pull credentials, or contact external endpoints. The runtime behaviour (interactive Python script) only reads user-provided parameters or standard input and writes local output/plots.
Install Mechanism
No install spec is provided (instruction-only skill) and the only executable artifact is a small Python script. No downloads, package installs, or archive extractions are declared.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The Python script optionally imports numpy/matplotlib if present; those are typical dependencies for local analysis and are not secret-bearing.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent platform privileges. It does not modify other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install motor-foc-control - After installation, invoke the skill by name or use
/motor-foc-control - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.0
v2.1: 新增PI整定脚本、SVPWM duty计算、弱磁深度控制、故障诊断流程图、工程参数速查卡
Metadata
Frequently Asked Questions
What is Motor FOC Control?
FOC磁场定向控制深度指南 | 深入讲解FOC原理、SVPWM、MTPA、弱磁控制、龙贝格观测器，配合实测案例、C代码和PI整定脚本. It is an AI Agent Skill for Claude Code / OpenClaw, with 167 downloads so far.
How do I install Motor FOC Control?
Run "/install motor-foc-control" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Motor FOC Control free?
Yes, Motor FOC Control is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Motor FOC Control support?
Motor FOC Control is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Motor FOC Control?
It is built and maintained by yongjie666888 (@yongjie666888); the current version is v2.1.0.
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