sensorless-control - SKILL.md Agent Skill

name: sensorless-control description: 🚧 STUB - Sensorless FOC observer implementations and estimation algorithms status: in-development

Sensorless Control Skill (🚧 In Development)

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

Purpose

This skill will provide implementations of sensorless FOC control algorithms, including various observer designs for position and velocity estimation without encoder feedback.

Planned Capabilities

Sliding mode observer (SMO) implementations
Phase-Locked Loop (PLL) angle tracking
Back-EMF estimation algorithms
High-frequency injection methods
Hybrid sensor/sensorless switching
Observer convergence analysis

Dependencies

Motor electrical parameters
Control theory library
Real-time signal processing
Position estimation algorithms

Usage Examples (Planned)

// Example: Sliding mode observer configuration
SlidingModeObserver observer;
observer.setMotorParams(Rs, Ld, Lq, flux_linkage);
observer.setGains(kSliding, kPLL);

// Update cycle
observer.update(vAlpha, vBeta, iAlpha, iBeta, dt);
float estimatedAngle = observer.getAngle();
float estimatedVelocity = observer.getVelocity();

Implementation Status

Sliding mode observer (SMO)
Phase-Locked Loop (PLL)
Back-EMF observer
High-frequency injection
Hybrid sensor/sensorless mode
Observer tuning procedures

Related Skills

control-algorithms - Observer base implementations
foc-tuning - Observer parameter tuning

This skill is currently a placeholder. Implementation pending.