Version 1
: Received: 3 October 2024 / Approved: 4 October 2024 / Online: 4 October 2024 (11:38:30 CEST)
How to cite:
Li, W.; Ye, S.; Liu, Q.; Huang, S. Optimization of Stator Structure for Improved Accuracy in Variable Reluctance Resolvers Using Advanced Machine Learning Techniques. Preprints2024, 2024100315. https://doi.org/10.20944/preprints202410.0315.v1
Li, W.; Ye, S.; Liu, Q.; Huang, S. Optimization of Stator Structure for Improved Accuracy in Variable Reluctance Resolvers Using Advanced Machine Learning Techniques. Preprints 2024, 2024100315. https://doi.org/10.20944/preprints202410.0315.v1
Li, W.; Ye, S.; Liu, Q.; Huang, S. Optimization of Stator Structure for Improved Accuracy in Variable Reluctance Resolvers Using Advanced Machine Learning Techniques. Preprints2024, 2024100315. https://doi.org/10.20944/preprints202410.0315.v1
APA Style
Li, W., Ye, S., Liu, Q., & Huang, S. (2024). Optimization of Stator Structure for Improved Accuracy in Variable Reluctance Resolvers Using Advanced Machine Learning Techniques. Preprints. https://doi.org/10.20944/preprints202410.0315.v1
Chicago/Turabian Style
Li, W., Qiankun Liu and Surong Huang. 2024 "Optimization of Stator Structure for Improved Accuracy in Variable Reluctance Resolvers Using Advanced Machine Learning Techniques" Preprints. https://doi.org/10.20944/preprints202410.0315.v1
Abstract
This study presents an optimized design for a Segmented Sinusoidal Parameter Winding with Magnetic Wedge Variable Reluctance Resolver (SSPWMW-VRR), addressing challenges like winding asymmetry and harmonic distortion in conventional designs. By integrating Particle Swarm Optimization (PSO) for winding design, Magnetic Equivalent Circuit (MEC) analysis for leakage flux, and machine learning techniques (XGBoost and Multi-Layer Perceptron), the stator slot shape was fine-tuned for improved accuracy. XGBoost outperformed MLP in prediction accuracy with a Mean Absolute Error (MAE) of 0.1172. Finite Element Analysis (FEA) simulations and experimental validation demonstrated a reduction in position errors from ±30’ in conventional VRRs to ±5’ in the optimized design, along with significant harmonic reduction.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
