This paper presents a speed estimation method using neural networks (NN) in a vector controlled (VC) induction motor drive. The estimation algorithm is implemented using a Jordan recurrent NN structure where training of the NN is done online using back-propagation algorithm. Two back emf models are used in order to realize the reference and the adaptive models from which depending upon the spee...

In this paper a small scale wind generator based on a permanent magnet synchronous machine (PMSM) and associated with an indirect maximum power point tracking (MPPT) algorithm is proposed. Choosing an energy conversion active structure and a sensorless PMSM, to control the system, a speed estimator is required. Facing to other methods, the extended Kalman filter (EKF) model-based estimator allo...

This paper presents Self-Tuning Fuzzy Logic Controller for sensorless vector controlled induction motor drives. When induction motor is continuously used long time, its electrical and mechanical parameters will change, which degrade the performance of PI controller considerably. This paper uses a Self-Tuning Fuzzy Logic Controller to improve the control performance.Here; the output gain of the ...

This paper presents a hybrid sensorless control for an interior permanent magnet synchronous motor (IPMSM) for zero-, low-, and high-speed regions. Many sensorless control methods such as an observer-based estimator have been introduced. However, most of the observerbased estimators have a disadvantage at start-up and in the low-speed region. To solve this problem, a simple strategy of using a ...

Concepts for sensorless position control of induction motor drives rely on anisotropic properties of the machine rotor. The built-in spatial anisotropy is detected by injecting a high-frequency flux wave into the stator. The resulting stator current harmonics contain frequency components that depend on the rotor position. Models of the rotor saliency serve to extract the rotor position signal u...

For speed sensorless induction motors under field-oriented control (FOC), where the motor speed and angle are not measured, the speed control tracking bandwidth is mainly limited by the convergence rate of the state estimator. Prevailing speed-sensorless induction motors suffer significant performance degradation from removing the encoder, which limits their applications to fields requiring low...

Purpose – The purpose of this paper is to describe an effective method to eliminate or substantially reduce the modulation harmonics due to saturation and inter-modulation for sensorless speed control induction motor drives at low and zero speed with high loads using artificial neural networks (ANN). Design/methodology/approach – In this paper, the separation of the saturation signal, the slott...

1,2 Department of EEE, Sree Buddha College of Engineering, Pattoor, Alappuzha Abstract— Model Reference Adaptive System (MRAS) based speed sensorless estimation of vector controlled induction motor drives are presented in this paper. New speed and current estimation techniques are presented. These are used to formulate a single current sensor based vector controlled drive. The proposed method i...

In this paper, the diagnosis of broken rotor bar (BRB) is investigated analytically and experimentally based on induction motors (IM) with variable speed drives (VSD). The analysis of the VSD process has understood that the sensorless control mode adjusts both supply voltage and current in order to maintain the operating speed within high accuracy. It means that any asymmetric problems with the...

The paper presents issues regarding the flux estimation of induction machines. The electrical machines variable’s estimation represents a major problem in the actual context of modern control approaches, especially of sensorless control strategies. There are considered several implementations of induction machine’s flux estimators by using the Matlab-Simulink environment and there are drawn the...