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Maximizing torque per volume index for SHESM based on two-dimensional method and meta-heuristic optimization
Alireza Hosseinpour1, Saeid Haidari2, Mohit Bajaj3,4,5
1Department of Electrical Engineering, Faculty of Engineering, University of Zabol, Zabol, Iran. a.hoseinpour@uoz.ac.ir.
Scientific Reports
|September 28, 2024
Summary
This study analyzes a permanent magnet synchronous machine with an auxiliary winding (AW) for enhanced rotor flux control. Optimization using meta-heuristic algorithms maximized the torque-to-volume ratio for applications in propulsion and traction systems.
Area of Science:
- Electrical Engineering
- Electromagnetics
- Machine Design
Background:
- Permanent magnet synchronous machines (PMSMs) are crucial for modern electric drives.
- Rotor flux control in PMSMs is essential for performance optimization.
- Auxiliary windings (AW) offer a potential method for advanced rotor flux control.
Purpose of the Study:
- To analyze a novel permanent magnet synchronous machine with an auxiliary winding on the rotor (AWPMSM).
- To investigate the AWPMSM's capability for rotor flux control and its impact on performance.
- To optimize AWPMSM design for maximum torque-to-volume ratio using meta-heuristic algorithms.
Main Methods:
- Two-dimensional analysis based on Maxwell's equations to calculate magnetic fields.
- Computation of various torque components (cogging, reluctance, electromagnetic, instantaneous).
- Investigation of flux weakening modes, overload capability, and temperature effects.
- Application of meta-heuristic algorithms (Genetic Algorithm, Particle Swarm Optimization, Differential Evolution, Teaching-Learn-Based Optimization) for design optimization.
Main Results:
- Detailed magnetic field distribution and torque component calculations were performed.
- Torque-speed characteristics and flux weakening strategies were analyzed.
- Optimization successfully maximized the torque-to-volume ratio by determining optimal dimensions and rotor angle.
- The influence of armature winding type and magnetization patterns was evaluated.
Conclusions:
- The analyzed AWPMSM demonstrates effective rotor flux control capabilities.
- Meta-heuristic optimization significantly enhances the torque-to-volume ratio.
- The AWPMSM is a promising candidate for demanding applications like propulsion and traction systems.
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