Developed Algorithm Based on Supply-Demand-Based Optimizer for Parameters Estimation of Induction Motor

S. Ibrahim, S. Kamel, Mohamed H. Hassan, S. Elsayed, L. Nasrat
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引用次数: 2

Abstract

One of the most important topics that receive great attention due to its environmental consequences is the issue of the optimal use of electrical energy. In other ways, the induction motors of most industries are the main component as they consume the highest percentage of energy and this consumption depends on the internal parameters that control the operating conditions of the motor. Despite the success of applying many algorithms to calculate the parameters of induction motors, these algorithms have important defects; they often get suboptimal solutions as a result of an improper balance between exploitation and exploration in their search strategies. This paper applies a demand-based optimization (SDO) as an efficient and simple algorithm for estimating equivalent circuit parameters of induction motors. The variation between the calculated and manufacturer data are minimized as objective functions which considered in the torque (starting torque, maximum torque, and full load torque) and full load power factor. The results indicate that the SDO is superior as it has a less deviation than the results obtained with five recent techniques.
提出了一种基于供需优化器的异步电动机参数估计算法
由于其环境后果而受到高度关注的最重要主题之一是电能的最佳利用问题。在其他方面,大多数行业的感应电机是主要组成部分,因为它们消耗的能量百分比最高,这种消耗取决于控制电机运行条件的内部参数。尽管许多算法成功地应用于异步电机的参数计算,但这些算法都有重要的缺陷;由于在搜索策略中不恰当地平衡利用和探索之间的关系,它们经常得到次优解。本文将基于需求的优化算法作为一种高效、简单的算法应用于异步电动机等效电路参数的估计。作为考虑扭矩(启动扭矩、最大扭矩和满载扭矩)和满载功率因数的目标函数,计算数据与制造商数据之间的差异被最小化。结果表明,SDO比最近五种技术得到的结果偏差更小,具有优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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