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Journals / Gazi University Journal of Science Part A: Engineering and Innovation / 2023 / Volume: 10 Issue: 4

Design and Co-Analysis of A Permanent Magnet Brushless DC Motor By Using Clonal Selection Principle Based Wound Healing Algorithm and Ansys-Maxwell

Yıldırım Özüpak(DİCLE ÜNİVERSİTESİ)0000-0001-8461-8702
Mehmet Çınar(BİTLİS EREN ÜNİVERSİTESİ)0000-0002-1542-9120
Pages
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Publication Date
2023-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results of the optimization process were interpreted by comparing them with the values obtained from the ANSYS software.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents the design and analysis of a 550 W Permanent Magnet (PM) Brushless DC motor (BLDC).
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Key Findings & Data:The finite element method (FEM) was employed to assess the motor's performance characteristics.
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Conclusion & Impact:The results of the optimization process were interpreted by comparing them with the values obtained from the ANSYS software.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:BLDC · WHA · Optimization

Abstract

This paper presents the design and analysis of a 550 W Permanent Magnet (PM) Brushless DC motor (BLDC). The finite element method (FEM) was employed to assess the motor's performance characteristics. The design and dynamic performance analysis were conducted using ANSYS/Rmxprt, while electromagnetic studies were carried out using ANSYS/Maxwell-2D. Additionally, optimization of the DC motor was achieved through a Wound Healing Algorithm (WHA). A PID controller was designed for this purpose. The paper also elaborates on the detailed design equations for creating a BLDC motor. BLDC motors are known for their high dynamic responses, efficiency, extended operating life, wide speed change intervals, and noise-free operation. The motor's geometry was modeled in the ANSYS-Maxwell-Rmxprt software tool and later imported into the Maxwell-2D environment for further analysis. The designed motor was observed to operate with 93% efficiency, meeting the specified torque value. The results of the optimization process were interpreted by comparing them with the values obtained from the ANSYS software.

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Cite This Article

Özüpak, Y., Çınar, M. (2023). Design and Co-Analysis of A Permanent Magnet Brushless DC Motor By Using Clonal Selection Principle Based Wound Healing Algorithm and Ansys-Maxwell. Gazi University Journal of Science Part A: Engineering and Innovation, Volume: 10 Issue: 4. https://doi.org/10.54287/gujsa.1371904

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References (8)

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