0% Complete
صفحه اصلی
/
The 5th International Conference on Electrical Machines and Drives
Influence of Tooth Shoe Geometry on the Accuracy of Variable Reluctance Resolvers
نویسندگان :
Mahdi Sadeghi Nazarabadi
1
Farid Tootoonchian
2
1- Iran University of Science and Technology
2- Iran University of Science and Technology
کلمات کلیدی :
Average of Absolute Position Error (AAPE),،Finite element Analysis(FEA),،Slot Opening,،Tooth shoe,،Variable Reluctance (VR) Resolver
چکیده :
Accurate rotor position sensing is critical for electric drives, motion control, and aerospace applications. Variable-reluctance (VR) resolvers are robust and cost-effective, but their performance is highly sensitive to stator and rotor geometry, particularly slot opening and tooth shoe length. In practice, stator slotting introduces both spatial and leakage-induced harmonics, which degrade position accuracy. This study investigates the effect of different tooth shoe geometries on VR resolver performance using finite element analysis (FEA), with validation performed on a prototype sensor. Several novel stator-tooth shoe topologies are proposed, and for each topology, the optimal shoe length is determined. The results reveal the interplay between structural parameters and resolver accuracy, providing guidelines for design optimization to minimize the average of absolute position error (AAPE).
لیست مقالات
لیست مقالات بایگانی شده
تشخیص خطای عایق بین ورقههای هسته استاتور در موتور القایی سه فاز
بهرام نوری - منصور اوجاقی
Study of a New Outer Rotor Permanent Magnet motor with Flux-Switching effect
Mehrad Haseli - Mohammad Reza Sarshar - Mojtaba Mirsalim - Seyed Hamid Montazeri
A Two-stage Isolated Bidirectional AC-DC-DC Converter with Soft Switching Operation
Reza Takarli - Younes Hosseini Ashtiani - Amirhossein Khanahmadi - Mohamadmahdi ُShahbazi - Ebrahim Afjei
Control of a Modular, Dual Winding, Six-Phase Permanent Magnet Synchronous Motor as Four-Star Connections
Davood Maleki - Abolfazl Halvaei Niasar
Improved Bearing Faults Detection in Induction Motor Through 2-D Convolutional Neural Network
Seyed Javad Mirmohammad Meiguni - Abolfazl Vahedi - Vahid Rahimi Bafrani - Akbar Rahideh
مدلسازی موتور القایی در شرایط خطای اتصالکوتاه سیمبندی استاتور مبتنی بر تئوری تابع سیم پیچی و اثر اشباع
محمد ابراهیم وزیری سرشک
مدلسازی عیب مغناطیسزدایی در ماشین شارمحوری آهنربای دائم بدون هسته
فاطمه اسلامی - عارفه محبی - مصطفی شاهنظری
Analysis of Short-Circuit Fault Types in Switched Reluctance Generators for Low-Power Wind Turbine Applications
Emad Mirzaei - Hossein Torkaman - Milad Babalou
Optimal Design for Enhanced Torque and Efficiency of a Dual-Stator Dual-Rotor Axial-Flux Switching PM Motor for Lightweight EVs
Mohammad Farahzadi - Mohammadreza Naeimi - Amir Ebrahimi Shohani - Fariba Farrokh - Mohammad Sedigh Toulabi - Karim Abbaszadeh
Discrete Voltage Vector Modulation Based Model Predictive Torque Control with Reduced Switching Frequency for PMSM Drives
Hossein Bagheri - Siroos Hemmati - Shahram Karimi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.0.1