51 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.  Abstract— The development of advanced motor drive has been increases rapidly, because of their higher performance and reliability. The Sensorless control of permanent magnet brushless DC motor is presented in this paper. The fuzzy PI controller is developed for controlling the speed of the PMBLDC motor drive....

Permanent Magnet Linear Synchronous Motor has been used widely in the industrial application and transportation system. However, a need of mechanical sensors is a drawback for its control system, which restricts the application range seriously. In order to solve the above drawback, the sensorless vector control method was proposed in the paper. The mathematic model was established for the senso...

This paper presents a novel sensorless control method of permanent magnet synchronous motors a low speed based on a high-frequency voltage signal injection. The approach superimposes a persistent HF voltage signal into the estimated d-axis to get the rotor position error angle-related signal by detecting the corresponding voltage response and current response. Then the rotor position and motor ...

This paper presents a novel sensorless control method of permanent magnet synchronous motors at standstill and low speed based on a low-frequency current signal injection. The approach superimposes a persistent LF current signal into the estimated d-axis to get the rotor position error angle-related signal by detecting the corresponding voltage response and current response. Then the rotor posi...

This paper presents a speed sensorless direct torque control scheme using space vector modulation (DTC-SVM) for permanent magnet synchronous motor (PMSM) drive based a Model Reference Adaptive System (MRAS) algorithm and stator resistance estimator. The MRAS is utilized to estimate speed and stator resistance and compensate the effects of parameter variation on stator resistance, which makes fl...

With the aim to achieve high dynamic performances under system uncertainties and load torque even at very low speed range, this paper presents a novel robust sensorless speed vector control strategy for single phase induction motor (SPIM). The proposed strategy includes a speed controller and a model reference adaptive system (MRAS) estimation algorithm of rotor speed both are based sliding mod...

The paper shows the design of a robust control structure for the speed sensorless vector control of the IM, based on the mixed sensitivity linear parameter variant (LPV) H∞ theory. The controller makes possible the direct control of the flux and speed of the motor with torque adaptation in noisy environment. The whole control system is tested by intensive simulations and according to the result...

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...

The paper deals with the application of an artificial neural network in the speed control of the DC drive without a speed sensor. The sensorless control structure of the DC drive contains the feedforward artificial neural network for speed estimation. The sensorless DC drive was simulated in program Matlab with Simulink toolbox. The main goal was to find the simplest artificial neural network s...

Abstract: Many motor applications require accurate speed measurement. For brushed dc motors, speed can be measured with conventional observers or sensorless observers. Sensorless observers have the advantage of not requiring any external devices to be attached to the motor. Instead, voltage and/or current are measured and used to estimate the speed. The sensorless observers are usually divided ...