“…9, the amplitude of the stator flux is a combination value of the six phase fluxes according to ( 7), ( 8) and (9). The position of the stator flux is calculated by (10). ( ) cos30…”
Section: B Developed Torque Control Methods For the Six-phase Ahb Convertermentioning
Switched Reluctance Motor (SRM) drives conventionally use current control techniques at low speed and voltage control techniques at high speed. However, these conventional methods usually fail to restrain the torque ripple which is normally associated with this type of machine. Compared with conventional three-phase SRMs, higher phase SRMs have the advantage of lower torque ripple: to further reduce their torque ripple, this paper presents a control method for torque ripple reduction in six-phase SRM drives. A constant instantaneous torque is obtained by regulating the rotational speed of the stator flux linkage. This torque control method is subsequently developed for a conventional converter and a proposed novel converter with fewer switching devices. Moreover, modeling and simulation of this six-phase SRM drive system has been conducted in detail and validated experimentally using a 4.0-kW six-phase SRM drive system. Test results demonstrate that the proposed torque control method has outstanding performance of restraining the torque ripple with both converters for the six-phase SRM, showing superior performance to the conventional control techniques.
“…9, the amplitude of the stator flux is a combination value of the six phase fluxes according to ( 7), ( 8) and (9). The position of the stator flux is calculated by (10). ( ) cos30…”
Section: B Developed Torque Control Methods For the Six-phase Ahb Convertermentioning
Switched Reluctance Motor (SRM) drives conventionally use current control techniques at low speed and voltage control techniques at high speed. However, these conventional methods usually fail to restrain the torque ripple which is normally associated with this type of machine. Compared with conventional three-phase SRMs, higher phase SRMs have the advantage of lower torque ripple: to further reduce their torque ripple, this paper presents a control method for torque ripple reduction in six-phase SRM drives. A constant instantaneous torque is obtained by regulating the rotational speed of the stator flux linkage. This torque control method is subsequently developed for a conventional converter and a proposed novel converter with fewer switching devices. Moreover, modeling and simulation of this six-phase SRM drive system has been conducted in detail and validated experimentally using a 4.0-kW six-phase SRM drive system. Test results demonstrate that the proposed torque control method has outstanding performance of restraining the torque ripple with both converters for the six-phase SRM, showing superior performance to the conventional control techniques.
“…Also, dynamic behavior of a 12/8 SRM and the effect of motor characteristics have been investigated [9,10]. In other studies, analysis and static optimization of four phase 8/14 SRM have been accomplished by a combination of MATLAB and 2D FEM Software Ansoft Maxwell [11]. Electric drive-train of the vehicle has been designed [12].…”
Estimation of dimension parameters for an electrical machine has great importance before manufacturing. For this reason, analytical design should be performed in an optimum form. While motor analysis is accomplished by package programs, initial size parameters are intutivily provided and then various trials are examined to get optimum results. In this study, we are trying to find dimensional and electrical parameters generating mathematical equations in analytic approaches for In-Wheel Switched Reluctance Motor (IW-SRM), which will be employed by Electric Vehicle (EV). Therefore, optimum motor parameters for required speed and torque have been estimated by solving generated equations for in-wheel SRM with 18/12 poles via MATLAB. Using the parameters, analysis of in-wheel SRM has been carried out 3D Finite Element Method (FEM) by Ansoft Maxwell 15.0 Package Software. Consequently, the accuracy of the estimated parameters has been validated by the results of Maxwell 3D FEM.
“…These methods only pursue high torque density without considering the influence of other indicators that are also important for the EV, such as torque ripple, noise, and vibration. Apart from perfecting the mechanical parameter and construction of an EV motor, multi-objective optimization, including torque density, was proposed in [97,98]. In [98], a single objective function with multi-geometry-parameters-variables was defined as a weighted sum of the individual criteria for showing the degree of comprehensive optimization.…”
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