Abstract
In this work, invasive weed optimization (IWO) is applied to optimizing different geometric design parameters of switched reluctance motors in order to maximize the static torque profile. These parameters are stator yoke thickness, rotor yoke thickness, stator teeth height, and rotor teeth height. Structural mapping is utilized for geometric parameterization thus maintaining the same mesh topology. Finite element analysis is used to obtain the motor static torque profile for a complete electrical cycle using a developed in-house MATLAB tool. The achieved results match well those obtained using the JMAG software.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE Electrical Power and Energy Conference, EPEC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538654194 |
| DOIs | |
| State | Published - 31 Dec 2018 |
| Externally published | Yes |
Publication series
| Name | 2018 IEEE Electrical Power and Energy Conference, EPEC 2018 |
|---|
Bibliographical note
Publisher Copyright:© 2018 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- Finite element method
- invasive weed optimization
- structural mapping
- switched reluctance motor (SRM)
ASJC Scopus subject areas
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
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