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RESEARCH PRODUCT
Sensorless Control of Induction Motors Using an Extended Kalman Filter and Linear Quadratic Tracking
David Hålandsubject
ENE500VDP::Teknologi: 500::Elektrotekniske fag: 540description
Master's thesis Renewable Energy ENE500 - University of Agder 2017 Conventional sensorless controls for induction motors require two PID regulators and precise gain turning. This thesis presents a sensorless control for induction motors using an extended Kalman filter (EKF) and linear quadratic tracking (LQT). The proposed method requires only a single controller and no physical velocity sensor
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-01 |