Improved Rotor Flux Estimation at Low Speeds for Torque MRAS-Based Sensorless Induction Motor Drives PROJECT TITLE :Improved Rotor Flux Estimation at Low Speeds for Torque MRAS-Based Sensorless Induction Motor DrivesABSTRACT:During this paper, an improved rotor flux estimation method for the Torque model reference adaptive schemes (TMRAS) sensorless induction machine drive is proposed to enhance its performance in low and zero speed conditions. The traditional TMRAS scheme uses an open loop flux estimator and a feedforward term, with basic low pass filters replacing the pure integrators. However, the performance of this estimation technique has drawbacks at very low speeds with incorrect flux estimation significantly affecting this inherently sensorless scheme. The performance of the proposed scheme is verified by both simulated and experimental testing for an indirect vector controlled 7.five-kW induction machine. Results show the effectiveness of the proposed estimator within the low- and 0-speed regions with improved robustness against motor parameter variation compared to the standard method. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest An Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation FinFETs With a Deep Buried Channel to Reduce the Readout Noise in CMOS Image Sensors
