单相感应电动机的优化设计

M. Karpe, Santosh Ghosh, Naveen Shindhe, Ravindra S. Birajdar, D. Bhave
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引用次数: 10

摘要

感应电机消耗了全球近40%的电力,因为它们是每个风扇、压缩机、泵和几乎所有具有旋转运动的机械负载背后的驱动力。每年仅工业领域就有大约3000万台新电动机投入使用。尽管永磁电机的出现,单相感应电机(SPIM)的数量超过所有其他类型的感应电机,因为它的简单和坚固的结构和低成本。因此,SPIM性能的微小改进可能会极大地影响全球能源消耗并最终减少碳足迹,然而,与SPIM相关的研究却被研究人员所忽视,因为它们不包括在最低效率标准之下。提出了以效率最大化为目标函数,同时保证材料和模具成本最小为目标函数的SPIM优化设计技术。对于目前的工作,一个0.5马力,2极电机已被认为是一个例子。提出了利用双旋转理论对电容起动运行电机进行优化设计的方法。通过有限元分析对优化设计进行了验证,并将有限元分析的预测结果与试验结果进行了比较,两者吻合较好。
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Optimization of Single-Phase Induction Motor
Induction Motors are responsible for consumption of nearly 40% of electricity globally, as these are the driving force behind each fan, compressor, pump and nearly every mechanical load which have rotational motion. About 30 million new electric motors are put in use every year for industrial application alone. Despite the advent of permanent magnet-based motors, single phase induction motors (SPIM) out numbers all other types of induction motors, because of its simple and robust construction and low cost. Hence small improvement in the performance of SPIM may greatly impact energy consumption worldwide and reduce carbon footprint eventually, however, studies related to SPIM is neglected by the researchers as these are not covered under the minimum efficiency standards. This paper presents design optimization technique of SPIM with the objective functions of maximization of efficiency while ensuring minimum material and tooling cost implication. For the current work a 0.5 hp, 2 pole motor has been considered as a sample case. Design approaches for optimization of capacitor start and run motor with the help of the double revolving theory is presented. The optimized design is validated by Finite Element Analysis and the predicted result of FEA analysis is compared with test result and found to be in good agreement.
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