SRM驱动发射角的多目标灰狼优化

2023 IEEE Transportation Electrification Conference & Expo (ITEC) Pub Date : 2023-06-21 DOI:10.1109/ITEC55900.2023.10186975

Vinícius Augusto De Abreu Batista, M. V. de Paula, Paulo Robson Melo Costa, Bruna Aderbal De Oliveira, T. A. dos Santos Barros

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引用次数: 0

摘要

开关磁阻电机(SRM)驱动器的性能与驱动角度密切相关。本文提出了一种算法$\text{is}$来保证最佳的SRM性能。采用多目标灰狼优化方法确定了在效率和转矩脉动之间权衡的Pareto边界。在优化步骤完成后进行灵敏度分析，以了解驱动角度对SRM性能的影响。结果表明，所提出的优化算法在整个运行速度范围内能够有效地定位最优控制参数，与基准相比，返回的R2为98%。

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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Multiobjective Grey Wolf Optimization of Firing Angles for SRM Drives

The performance of Switched Reluctance Motor (SRM) drives is highly connected to the driving angles. In this paper, an algorithm $\text{is}$ proposed to ensure optimal SRM performance. A multi-objective grey wolf optimization is implemented to determine the Pareto frontier that includes a trade-off between efficiency and torque ripple. Sensitivity analyses are performed after the completion of the optimization step to understand the influence of driving angles on the performance of the SRM. The results show that the proposed optimization algorithm is efficient in locating the optimal control parameters in the entire operating speed range, returning an R2 of 98% in comparison to the benchmark.

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2023 IEEE Transportation Electrification Conference & Expo (ITEC)

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