Sensorless motor controller firmware using rotor region
This technology is a smarter way to control electric motors by using a neural network to continuously learn and predict the optimal timing for energizing the motor's coils. The system watches how the motor responds to electrical inputs, builds a model of how the motor behaves across different operating conditions, and uses that model to keep the motor synchronized in real time. When the system detects it has made a timing error, it immediately corrects course and refines its future predictions. The result is a motor controller that gets progressively better at efficiency and performance without requiring manual tuning or precise position sensors.
What you could build
An embedded motor controller firmware module for sensorless switched-reluctance or brushless motors, sold to appliance makers, industrial equipment manufacturers, and EV drivetrain suppliers seeking to cut sensor costs while improving efficiency.
Who in Virginia should care
Virginia-based defense contractors and shipbuilders (e.g., Huntington Ingalls, Leidos) using electric drive systems, plus the growing Northern Virginia data center hardware supply chain, would have interest in efficient, adaptive motor control.
Readiness: Lab validated
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Christopher Allen Hudson, Nimal Lobo, Krishnan Ramu
- Granted
- December 31, 2013
- Status
- Granted patent
- Patent number
- 8618761
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.