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This paper studies the senserless control of surface-mount permanent magnet synchronous motor (SPMSM) based on model reference adaptive system (MRAS) method. We focus attention on how parameter variation and dead-time influence the speed and position estimation error of the sensorless control strategy. Comparison of different impacts caused by each parameter variation is realized using Matlab/Simulink...
Model Reference Adaptive System (MRAS) is a simple approach for speed estimation of an Induction Motor (IM). It is an attractive scheme for analysis especially when knowledge relating to system parameters are poor. The technique incorporates an error signal to be generated by comparing the output of the reference model (RM) and the adjustable model (AM), respectively. The error signal generated drives...
Various functional candidates such as flux, back electromotive force, and reactive power are used to form a model reference adaptive system (MRAS) to estimate the speed of an induction motor drive. Of these, reactive power ( $Q$) based controllers perform well at low speeds and are inherently independent of stator resistance. However, such configuration fails to provide stability in the regenerative...
This paper deals with rotor and stator resistance estimation of induction motor (IM) drive based on augmented Extended Kalman Filter (EKF). The proper knowledge of rotor flux magnitude and flux position is a necessary condition for high performance induction motor control (Rotor Flux Field Oriented Control - RFOC etc.). The rotor flux estimator for RFOC is typically based on mathematical model of...
Since the rotor resistance is associated with a slip calculation, the precise identification of rotor resistance has a crucial impact on the dynamic behavior of the whole Indirect Field Orientation Control. This paper presents a new technique based on Model Reference Adaptive System scheme for on-line estimation of an induction motor rotor resistance. The proposed rotor parameter identification is...
Model reference adaptive system (MRAS) is one of the popular methods to observe the speed and the angle information of the Permanent magnet synchronous motor (PMSM). This paper proposes a new adaptation scheme for MRAS to replace the conventional PI controller based on Popov Hyperstability theorem. In this project, the speed of PMSM is controlled by using field oriented control (FOC) method and the...
One of the most important technologies for electric vehicles is the drive control technology which does not require a position or speed sensor. In a sensorless vector controlled induction machine, the speed must be estimated from the system measurements. Model Reference Adaptive System (MRAS) based techniques are one of the best methods to estimate the rotor speed due to its performances and straight...
This paper deals with the parameters of Permanent Magnet Synchronous Motor (PMSM) i.e. speed (ωr), and q-axis inductance (Lq) is to be estimated by using Reactive power based Model Reference adaptive Controller (MRAC). To improve the performance of speed sensor less permanent magnet synchronous motor drives, especially at low speeds by identifying stator resistance together with speed. Several speed...
This paper deals with an adaptive reference controlled SRM, based on a virtual model implemented by the aid of artificial neural networks. That makes the model quite precise and adequate and permits real SRM and full-order observer to work in parallel. This observer promotes the implementation of sensorless control.
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