A new method for accurate analytical modeling of switched reluctance motor

Abstract

This paper presents a new method to build an accurate analytical dynamic model for switched reluctance motor (SRM). The parametric piecewise Hermite cubic spline function with a combination of Fourier series is proposed as a more accurate analytical expression to fit the phase flux linkage/currenVposition characteristic data of SRM. The new method proposed here is universally applicable to any type of SRM.

Control Strategy for a High Speed SRM Fed From a Photovoltaic Source

“…This discrete available data can be extended to be continuous for all  and i values during the period between the positions =0(aligned) and  = 2/N r (unaligned). The magnetic behavior of the SRM is highly nonlinear where the static torque produced by one phase at any rotor position is calculated using the following equations [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Performance of a Sensorless SRM Drive Fed From a Photovoltaic System

“…The performance requirements for such applications are not high as that required for machine tool servo drives. Generally, the requirement of low cost with high performance for motor drives has placed the agenda of low-cost, sensor-based or sensorless technology at the forefront of present day research and development of motor drives [1][2][3][4][5]. SRM drives are no exception to this trend, as seen from the high degree of interest shown by industrial and academic researchers worldwide on this topic.…”

“…This is due to simple construction, ruggedness and inexpensive manufacturing potential. Various methods have used and applied to control SRM speed such as angle position control, phase current chopping control, fixed angle pulse width modulation (PWM) control, and variable angle PWM control [2][3][4][5]. However, difficulties in measuring rotor position made it quite complex to achieve smooth speed control of switched reluctance motors.…”

A Simplified Speed Controller for High Speed Switched Reluctance Motors

“…These variables are evaluated by the control rules using the compositional rule of inference, and approximately computed control action is then reconverted to the crisp value required to regulate the process. So the essential elements in designing fuzzy controller include [9,[15][16][17][18][19] In case of speed control, the speed error signal e(k) and its rate of change de(k) are selected as inputs to fuzzy logic controller. These are normalized into a common universe of discourse and their linguistic fuzzy subsets along with their membership grades are defined using the functions.…”

“…The construction of 8/6 (8 stator poles, 6 rotor poles) poles SRM has doubly salient construction. Usually, the number of stator and rotor poles is even, and the construction is well explained in [16][17][18][19][20]. The windings of the SRM are simpler than those of other types of motors, and winding exists only on stator poles, and is simply wound on it with no winding on the rotor poles.…”