This paper presents a new algorithm based on Model Reference Adaptive System (MRAS) and its stability analysis for sensorless control of Doubly-Fed Induction Generators (DFIGs). The reference and adjustable models of the suggested observer are based on the active power of the machine. A hysteresis block is used in the structure of the adaptation mechanism, and the stability analysis is performe...

Sensorless control techniques of electric motor dedicated to vehicles (EVs) offer low-cost and high operating performance. In this paper, a robust speed-sensorless scheme based on second-order generalized integrator-frequency-locked loop method (SOGI-FLL) is proposed with only one current sensor. The SOGI-FLL introduced estimate accurately the angular speed from measured signal. While scalar te...

This document deals with solutions to control a switched reluctance motor using the TMS320C24x. This new DSP family enables cost-effective design of intelligent controllers for switched reluctance motors. Two speed control algorithms are presented, they allow the Switched Reluctance motor drive to reach high efficiency, smooth operation, very good dynamic behavior, very high speed and low acous...

The algorithmic structure of a vector controller capable of high quality speed control of a synchronous reluctance motor with and without the use of a rotor position sensor is presented in this paper. The controller is based on a conventional saturated machine d-q model. Its main merit is that it can be operated in a sensorless control mode by executing a new, very accurate parameter dependent ...

In this paper a sensorless control is proposed to increase the efficiency of a Direct Torque Control (DTC) of an induction motor propelling an Electric Vehicle (EV). The proposed scheme uses an adaptive flux and speed observer that is based on a full order model of the induction motor. Moreover, it is evaluated on an EV global model taking into account the vehicle dynamics. Simulations were fir...

This paper develops a sensorless vector controlled method for AC induction motor using sliding-mode observer. For developing the control algorithm, modeling of AC induction motor is presented. After that, a sliding mode observer is proposed to estimate the motor speed, the rotor flux, the angular position of the rotor flux and the motor torque from monitored stator voltages and currents. The us...

This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct...

This letter describes a zero-speed start-up method of a speed sensorless stator-flux-oriented direct vector-controlled induction motor drive with the help of a machine current model that does not use any speed signal. The machine starts smoothly with vector control at finite developed torque and then transitions to the standard direct vector-control mode with the voltage model signals as the sp...

The presence of an integrator in a reference model rotor flux-based adaptive system (RF-MRAS) and non-linearity the inverter output voltage degrade speed response sensorless operation electric drive terms DC drift, initial value issues, inaccurate acquisition. To improve response, compensating component is supplemented by amending integrator. coalition drift offset voltages, reduces issues. Dur...

Stator flux oriented vector control of induction motor (IM) drives for speed sensorless control has several advantages. But the application of a pure integrator for the flux estimation is difficult due to the presence of measurement noise and dc offset. To overcome these problems, some have used a programmable cascaded low pass filter (PCLPF). In this paper, it is shown that some problems still...