In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due ...

The sensorless control of an axial flux permanent magnet motor drive is proposed and tested. The motor is not purposely designed for sensorless control and shows a very small inherent saliency. This significantly affects the saliency-based position estimation in the low speed region. Other nonidealities, such as the non-sinusoidal back-EMF waveforms and possible misalignment between stator and ...

In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...

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...

A flux observer for induction motors which is adaptive to the active rotor resistance variations presented. Due added fluxes overestimation in structure, global exponential stability properties of current and vector components estimation are ensured under conditions persistency excitation. The proposed has a simpler structure compared existing solutions with properties. simulation results dynam...

Aiming at the issue of sliding mode observer (SMO) being sensitive to motor model parameters low speeds, a rotor position observation method based on resistance adaptive SMO and considering influence inverter dead time is designed in this paper. In method, online identification introduced into conventional SMO, are modified real-time, algorithm by using Lyapunov function. An enhanced linear com...

To avoid damaging the motor and its surrounding equipment, detecting Inter-Turn Short Circuit (ITSC) faults in Permanent Magnet Synchronous Motors (PMSMs) applied electric vehicles is a crucial task. In this paper, detection of ITSC stator winding for PMSMs carried out by means Extended KALMAN Filter (EKF) algorithm combined with Fuzzy Logic Estimator (FLE). estimate parameters, including rotor...

One challenge to predict output performance characteristics of switched reluctance machines (SRM) is the accurate estimation of the minimum inductance of the stator phase at unaligned position of the rotor. In this paper, boundary element method (BEM) is used for this purpose while avoiding time-consuming numerical integrations. So, the method is investigated in terms of accuracy and computatio...

A mutual Model Refereme Adaptive System, (MRAS) con,tainmg two m,odeBs is proposed to i m plem:ent a! position! sensorless Field Orientat ion Control (FOC) of a n in8duction, mack,in,e. For the rotor speed estim,ation,, one m#odel is used as a reference model and m o t h e r is the ad@stahk m.odel. Pure integration and stator leakage indu.ctance are rem,oved f r o m th,e refere n w model, re.su...

: Induction generators are gaining the popularity due to its simplicity and no synchronization problem. However the major drawback of this machine is its additional reactive burden on the system, where it is connected. In this paper an attempt is made to explore the performance of a grid connected induction generator (GCIG) due to weak grid conditions i.e. voltage and frequency fluctuations. It...