FOC Tuning Skill (🚧 In Development)

Status: Stub - Planned for future implementation Owner: motor-control-engineer.agent

Purpose

This skill will provide automated tuning procedures for Field-Oriented Control (FOC) motor controllers, including current loop, velocity loop, and position loop parameter optimization.

Planned Capabilities

• Automated current loop bandwidth measurement
• Velocity loop step response tuning
• Position loop gain optimization
• Anti-cogging calibration procedures
• Stability margin analysis
• Performance metrics calculation

Dependencies

• Motor parameter identification
• System identification tools
• Control loop simulation capability
• Hardware-in-the-loop testing infrastructure

Usage Examples (Planned)

# Example: Automated velocity controller tuning
from odrive.tuning import VelocityTuner

tuner = VelocityTuner(axis0)
tuner.measure_inertia()
tuner.auto_tune(target_bandwidth=50.0)  # Hz
tuner.validate_response()

Implementation Status

• Current loop auto-tuning
• Velocity loop auto-tuning
• Position loop auto-tuning
• Anti-cogging calibration
• Stability analysis tools
• Performance validation

Related Skills

• control-algorithms - Controller implementations
• sensorless-control - Observer tuning

This skill is currently a placeholder. Implementation pending.