With the increasing concerns on more electricity or full electricity for modern energy
conversion systems, the key component of electric machine, has been paid more and more …

Electric drive without electrical and mechanical sensors is the critical obligation in most of
the industrial applications due to its user-friendly hardware, lower maintenance, low cost …

This article represents modified model reference adaptive system (MRAS) method for speed
sensorless control of interior permanent magnet synchronous motor (IPMSM), which can …

Finite-state predictive torque control (FS-PTC) is computationally expensive, since it uses all
voltage vectors (VVs) available from a power converter for prediction and actuation. The …

Precise positioning of a robot plays an very important role in advanced industrial
applications, and this paper presents a new kinematic calibration method based on the …

This paper presents a novel predictive model reference adaptive system (MRAS) speed
estimator for sensorless induction motor (IM) drives applications. The proposed estimator is …

This paper proposes two nonlinear estimation approaches, namely based on Extended
Kalman Filter (EKF) and a Takagi-Sugeno Fuzzy Observer with 32 rules (TSFO-32), for a …

In the recent years, the use of model predictive control in electrical drives has been widely
reported both theoretically and experimentally. Predictive torque control has been …

The paper proposes an improved low speed performance of classical rotor flux (RF)-based
model reference adaptive system (MRAS) for field oriented controlled induction motor (IM) …

In this paper, an extended Kalman filter (EKF) is employed to estimate stator currents, rotor
speed, rotor position, and mechanical torque of a direct-driven surface-mounted permanent …