Hossein Azizi Moghadam; Masood Saeidi; Abolfazl Vahedi; omid Rezaei; Shervin Salehirad
Abstract
synchronous reluctance motors are among the most popular electric motors today, due to their relatively good features, but the important thing to consider about these motors is to calculate and estimate their rotor position, and failure to do so may cause damage in their control system. Therefore, many ...
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synchronous reluctance motors are among the most popular electric motors today, due to their relatively good features, but the important thing to consider about these motors is to calculate and estimate their rotor position, and failure to do so may cause damage in their control system. Therefore, many methods such as sensorless, hall-effect, GMR, encoder, etc. were used to compute and estimate the rotor position, each of which has its own advantages and disadvantages. Besides, in many articles, the effect of positional error and the effect of this error on the control system and the method of dealing with this chronic problem are not analytically stated, and only this phenomenon has been studied in operation. Whereas, in this paper, firstly, a variety of conventional methods available for estimating and calculation the rotor position of synchronous reluctance motors briefly is introduced, and then investigated the effect of the error on the control system and at the end, the results of simulation and mathematical analyzes the impact of this error on the control system is presented.
Arta Mohammad-Alikhani; Abolfazl Vahedi; Farshid Mahmouditabar; Mehdi Rahnama
Abstract
Permanent magnet synchronous motors (PMSMs) have rencently attracted much attention of scientists due to high reliability, high efficiency, high density of power and torque. However, Permanent magnet (PM) motros suffer from irreversible demagnetization which is one of the most probable problems occurring ...
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Permanent magnet synchronous motors (PMSMs) have rencently attracted much attention of scientists due to high reliability, high efficiency, high density of power and torque. However, Permanent magnet (PM) motros suffer from irreversible demagnetization which is one of the most probable problems occurring in these motors. One of the recently developed permanent magnet synchronous motors, is the Flux Switching Permanent Magnet (FSPM) motor whose PM is placed on the stator. In this paper, a novel approach is proposed for the diagnosis of the demagnetization fault in a flux switching permanent magnet motor using electromagnetic torque. In this approach, the harmonic components of the electromagnetic torque are obtained, and then, ReliefF feature selection method is utilized to select the best-ranked harmonic component. The selected harmonic component is then applied to the Support Vector Machine (SVM) classifier to classify different states of the motor’s PM. The proposed approach is validated by Finite Element Model (FEM) simulation.
