A switched reluctance motor (SRM) is a low-cost motor with a simple structure and variable speed industrial and home applications. This article presents the design, simulation, and development of a low-cost, accurate, and small-size sensorless driver for a 6/4 three-phase SRM. In the algorithm, the (nonlinear) relation of the flux, current, and rotor (FCR) position is linearized to achieve a modified FCR model, in which the values of the most important points of the primary FCR are emphasized. The SRM parameters required for the design process are obtained using a 3D finite-element method (FEM). The proposed method is simulated and then tested under different load and speed conditions.The results are compared with a conventional sensorless algorithm's results, and the reference data are obtained by a direct with-sensor algorithm. The algorithm estimates the rotor position (error of 1.3%) between low to nominal speed of the selected SRM under both nominal and no-load conditions. In comparison with the conventional algorithm, the proposed FCR model significantly reduces the calculation cost and memory demand by 66%. Finally, the proposed algorithm decreases the driver size and price by 64% and 85%, respectively.
K E Y W O R D Senergy efficiency, rotor position detection, sensorless drive, switched reluctance motor
INTRODUCTIONSwitched reluctance motor (SRM) has a lot of merits such as high performance, simple and low-cost structure, and ability to operate under harsh conditions with high speed. 1,2 The rotor can achieve high speed because it does not include any winding and has low weight. 3,4 Since power electronic devices and transistors are utilized in the SRM driver, SRM had not been used for many years until the developments in power electronics technology in the past decades. 5,6 In SRM control, the rotor position is required since the stator pole should be energized in a rotor position where positive torque can be generated to rotate the rotor. 7-9 Basically, two main strategies are suggested for detecting the rotor position: direct (with position sensor) and indirect (sensorless) strategies. [10][11][12] In indirect methods, different types of position sensors such as encoder and Hall effect sensor can be used to detect the location of the rotor. Although this method is very accurate, the