LEQG/LTR controller design with extended Kalman filter for sensorless brushless DC driver
This paper proposes a new method for the speed controller design of brushless DC motor, which is based on the linear exponential quadratic Gaussian with loop transfer recovery (LEQG/LTR) methodology. In addition, we design a speed sensorless brushless DC motor vector-controlled driver with both the extended Kalman filter and the LEQG/LTR algorithm. The experimental realization of a brushless DC motor is given. The results verify the performance of design for sensorless speed controller.
extended kalman filter speed sensorless linear-exponential-quadratic-gaussian loop-transfer-recovery brushless dc motor servo driver vector control