In the speed sensorless vector control system, the amended method of estimating the rotor speed about model reference adaptive system (MRAS) based on radial basis function neural network (RBFN) for PMSM sensorless vector control system was presented. Based on the PI regulator, the radial basis function neural network which is more prominent learning efficiency and performance is combined with M...

The aim of this paper is to present a simple Maximized Power Control for Wind Energy Conversion System (WECS) using Double Fed Induction Generator (DFIG). The control algorithm uses High Order Sliding Mode Control technique (SMC). This control strategy, based on stator flux orientation, tracks the maximum power for different wind speeds, and regulates separately the active and reactive powers e...

Abstract This paper investigates a comparison between the sensorless vector control method based on MRAS (Model Reference Adaptive System) using SVPWM (Space Vector Modulation) and the control method of the PMSM (Permanent Magnet Synchronous Motor) Based on anti-saturation current controller. MRAS algorithm is based on comparison between the estimators. The error between the estimated quantitie...

AC drives based on pulse width modulation (PWM) voltage source inverters (VSI’s) have many drawbacks, Especially for high performances applications. The inverter nonlinearities such as dead time and power devices voltage drop are one of the main reasons. In this paper a new method to estimate and compensate inverter nonlinearities is presented. The proposed method is based on Model Reference Ad...

In encoderless Model Predictive Torque Control (MPTC) of three-phase Induction Motor (IM) drives, current sensors can face different electrical or mechanical faults in harsh industrial environments. this research, single-phase sensor Fault-Tolerant (FTC) method for MPTC IM drives without speed measurement using a flux linkage observer and Reference Adaptive System (MRAS) algorithm is proposed. ...

<p class="Abstract"><span lang="EN-US">A novel online induction motor (IM) rotor time constant estimator based on a perturbation-based extremum seeking control (ESC) and model reference adaptive system (MRAS) is proposed. Since implementations of fieldoriented (FOC) requires accurate values IM parameters, such as constant, so robust on-line estimations parameters are crucial for any...

OBJECTIVES: To determine the prevalence and characteristics of patients who achieved target doses angiotensin converting enzyme inhibitors (ACEIs)/ II receptor blockers (ARBs), beta-blocker, mineralocorticoid antagonists (MRAs). MATERIALS AND METHODS: A retrospective chart review study heart failure with reduced ejection fraction (HFrEF) received ACEIs/ARBs, beta-blockers, or MRAs follow-up mor...

1This paper presents a new speed observer for high performance FOC (Field Oriented Control) and DTC (Direct Torque Control) induction motor drives. It is an MRAS (Model Reference Adaptive Systems) observer which employs a linear ANN (Artificial Neural Network) for the estimation of both the rotor speed and the flux-linkage. The training of the ANN based adaptive model of the MRAS observer is pe...

A mutual model reference adaptive system (MRAS) is proposed to implement a position sensorless field-orientation control (FOC) of an induction machine. The reference model and adjustable model used in the mutual MRAS scheme are interchangeable. Therefore, it can be used to identify both rotor speed and the stator resistance of an induction machine. For the rotor speed estimation, one model is u...

This paper presents a novel method of Hybrid pulse width modulation (HPWM) algorithm for control of induction motor drive based on model referencing adaptive system (MRAS). In the conventionally used space vector pulse width modulation (CSVPWM) scheme the duration of zero voltage application is equally distributed in each and every sampling period. In this is paper a HPWM is presented for senso...