Abstract—This article presents a novel torque ripple minimization approach based on the genetic algorithm (GA) for the switched reluctance motor (SRM) drives. The fitness function of the GA is designed on the basis of two main optimization criteria. The first optimization criteria; three objectives are defined to optimize commutation angles minimizing torque ripple and copper loss. The second optimization criteria; an objective is defined to eliminate the negative torque which decreases the average torque in SRM drives. The achievement of all objectives depends on the adjusting appropriate the commutation angles of the torque sharing functions (TSF) during the commutation period. All of conventional TSFs are dependent on three different commutation angles, namely turn-on, turn-off, and overlapping. Due to the nonlinear phase inductances of SRM, the delay of current rising and falling time are not unity in overlapping commutation region. To overcome the separation of the incoming and outgoing phase currents during the commutation region, rise angle, and fall angle are used instead of overlapping angle. GA is used to optimize the commutation angles of conventional (sinusoidal) TSF and improved (sinusoidal) TSF. At the same time, the elimination negative torque effects on torque ripple, average torque, and copper loss is investigated.

中文翻译：

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一种改进的转矩共享功能，用于最小化转矩脉动并增加开关磁阻电机驱动器的平均转矩

摘要——本文提出了一种基于遗传算法 (GA) 的新型转矩脉动最小化方法，用于开关磁阻电机 (SRM) 驱动器。遗传算法的适应度函数是基于两个主要优化标准设计的。第一个优化标准；定义了三个目标来优化换向角，最大限度地减少转矩脉动和铜损。第二个优化标准；一个目标被定义为消除负扭矩，这会降低 SRM 驱动器中的平均扭矩。所有目标的实现取决于在换向期间适当调整扭矩共享功能（TSF）的换向角度。所有传统的 TSF 都依赖于三种不同的换向角，即开启、关闭和重叠。由于 SRM 的非线性相位电感，重叠换相区电流上升和下降时间的延迟不统一。为了克服换向区进出相电流的分离，使用上升角和下降角代替重叠角。GA 用于优化传统（正弦）TSF 和改进（正弦）TSF 的换向角。同时，研究了消除负转矩对转矩脉动、平均转矩和铜损的影响。GA 用于优化传统（正弦）TSF 和改进（正弦）TSF 的换向角。同时，研究了消除负转矩对转矩脉动、平均转矩和铜损的影响。GA 用于优化传统（正弦）TSF 和改进（正弦）TSF 的换向角。同时，研究了消除负转矩对转矩脉动、平均转矩和铜损的影响。