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An optimal maximum torque per ampere strategy for switched reluctance machines

机译:适用于开关磁阻机的最佳最大扭矩

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Addressing drawbacks inherent to switched reluctance machines (SRM) could allow its distinctive characteristics to broaden applications from selective, niche industrial roles to various engineering sectors. Phase winding isolation is a contributing factor of advantageous characteristics unique to SRMs when compared to the industry workhorse, pulse width modulation driven induction machines. Specifically, this increases fault tolerance, simplifies the manufacturing winding process, and allows the machine to remain in a locked rotor position safely without concern of faulting, thus contributing to a greater overall robustness. On the contrary SRMs, when compared to other electrical machine types, are most notably criticized for requiring complex control strategies to achieve optimal operation, having greater overall current requirements, operating at higher speeds, and creating greater acoustic noise and torque ripple. Cumulatively, these shortcomings alienate the SRMs commercial and industrial popularity, ultimately limiting its full potential from being exploited. Since SRM torque production is typically non-linear, various techniques have been developed in order to produce the maximum torque per given current excitation, i.e. maximum torque per ampere (MTA). The “balanced commutator” control strategy uses a look-up table to account for the non-linearity of the SRMs torque-angle characteristic, yet does not totally optimize the copper or iron losses, current requirements, or effectively mitigate the torque ripple. A stochastic search technique based on evolutionary algorithms, particle swarm optimization (PSO), allows for MTA profiles to be obtained that optimize the shortcomings inherent to the balanced commutator technique. This work presents a novel MTA SRM control strategy based on the PSO technique. The optimum phases current profiles of a 4-phase, 8/6 pole SRM are obtained such that copper losses and torque ripple are minimized while achieving- the desired torque at specific rotor positions. Results are compared against the balanced commutator method.
机译:解决固有的开关磁阻电机(SRM)可以允许其鲜明的特点,从选择性的扩大应用,利基产业角色不同工程领域的缺点。相比于工业重负荷时的相绕组的隔离是唯一的SRM的有利的特征的一个因素,脉冲宽度调制驱动的感应电机。具体而言,这提高容错能力,简化了制造卷绕过程,并允许机器安全地保持在锁定转子位置,而不会断裂的顾虑,从而促进更大的整体鲁棒性。与此相反的SRM,相对于其他电机类型时,是最显着的批评,需要复杂的控制策略,以达到最佳的操作中,具有更大的总电流的要求,以更高的速度运行,并创造更大的噪音和转矩脉动。日积月累,这些缺点疏远SRM的商业和工业的人气,最终被人利用限制了它的全部潜力。因为SRM转矩产生通常是非线性的,各种技术已被开发,以产生每个给定的电流激励的最大扭矩,即最大扭矩每安培(MTA)。 “平衡换向器”控制策略使用查找表以考虑所述的SRM的非线性角特性,但不能完全优化铜或铁的损失,目前的要求,或有效地减轻转矩脉动。基于演化算法的随机搜索技术,粒子群优化(PSO),允许与优化要获得固有的均衡换向器技术的缺点MTA配置文件。这项工作提出了基于该技术的PSO一种新型MTA SRM控制策略。四相,8/6极SRM的最佳相位的电流分布获得,使得铜耗和转矩脉动被最小化,同时在achieving-特定的转子位置所需的扭矩。结果针对均衡换向器方法相比。

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