Model-Based Control System Design of Brushless Doubly Fed Reluctance Machines Using an Unscented Kalman Filter

The Brushless Doubly Fed Reluctance Machine (BDFRM) is an emerging alternative for variable speed drive systems, providing a significant downsizing of the power electronics converter. This paper proposes new view on machine equations, allowing reuse standard control system design conventional synchronous and asynchronous machines: cascade with inner current control- outer loop. assumptions simplifications made model allow simple, model-based approach to set controller gains in brushless doubly fed system. scheme combined Unscented Kalman Filter as state observer, capable estimating load torque losses. performance proposed checked simulation tested real-time low BDFRM prototype.