Parameter Tuning of PID Control for Speed Regulation of a PMSM Using Artificial Hummingbird Algorithm (AHA)

This article focuses on selecting the best gains for PID controllers used in speed control for Permanent Magnet Synchronous Motors (PMSM). The Artificial Hummingbird Algorithm (AHA), a bio-inspired optimization method, is utilized in this study. The study shows the benefits of using AHA to improve the performance of PMSM.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/eit63098.2024.10762235
Citations
3
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
1.04
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article

Parameter Tuning of PID Control for Speed Regulation of a PMSM Using Artificial Hummingbird Algorithm (AHA)

H. Xin and B. Shao
3 citations
Fuzzy Logic and Control Systems
1.04
article

Parameter Tuning of PID Control for Speed Regulation of a PMSM Using Artificial Hummingbird Algorithm (AHA)

H. Xin and B. Shao
article en
3 citations

Abstract

This article focuses on selecting the best gains for PID controllers used in speed control for Permanent Magnet Synchronous Motors (PMSM). The Artificial Hummingbird Algorithm (AHA), a bio-inspired optimization method, is utilized in this study. The study shows the benefits of using AHA to improve the performance of PMSM.

Shandong University (CN)
Openalex Percentile: Top 18%
Fuzzy Logic and Control Systems
1.04
DOISourceOpenAlex
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