0% Complete
صفحه اصلی
/
The 5th International Conference on Electrical Machines and Drives
Fast Method for End Winding Leakage Inductance Calculation in Induction Motors
نویسندگان :
Mohamadreza Soleimani
1
Moein Farhadian
2
Hamed Tahanian
3
1- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS)
2- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS)
3- R&D Department, MAPNA Generator Engineering and Manufacturing Co. (PARS) Karaj, Iran
کلمات کلیدی :
End-winding leakage inductance،induction motor،Finite Element Method (FEM)،fast modeling،magnetic energy method
چکیده :
Accurate evaluation of end-winding leakage inductance is crucial for the design and performance prediction of large induction machines, as it directly affects starting current, torque capability, and electromagnetic force estimation. Conventional analytical methods, while computationally efficient, often neglect fringing fluxes and therefore underestimate inductance. In contrast, full-core 3-D Finite Element (FE) models capture the complete electromagnetic behavior but impose prohibitive computational costs, particularly for large machines. This paper proposes a fast FE-based approach that eliminates or simplifies the magnetic core and retains only the coil geometry, thereby drastically reducing model complexity while preserving accuracy. The method explicitly accounts for both fringing and leakage fluxes and eliminates the dependence on nonlinear magnetic material, which enables consistent results across different operating conditions. Validation is carried out under both locked-rotor and rated conditions. The results demonstrate that the proposed approach reduces simulation time from several hours to only a few minutes while maintaining high accuracy compared to conventional FE. Owing to its efficiency and reliability, the method provides a practical and scalable tool for the design optimization and analysis of large electrical machines.
لیست مقالات
لیست مقالات بایگانی شده
Acoustic Noise Estimation of Air-Core Reactors Using the Finite Element Method
Alireza Khodadad - Mohammad Hamed Samimi
A data-driven load shedding method based on generative adversarial networks considering missing data and unlearned fault
Nazanin Pourmoradi - Sasan Azad - Mohammadtaghi Ameli
Active Equalization for an Integrated Bidirectional Electric Vehicle Charger Using a Hybrid Model Predictive and Reinforcement Learning Framework
Peyman Bayat - Pezhman Bayat
Robust Wireless Power Transfer by Self-Oscillating Controlled Inverter and Circular Pads
Alireza Eikani - Mohammad Amirkhani - Hossein Jafari - Sadegh Vaez-Zadeh - Mojtaba Mirsalim - Davood Arab Khaburi
A Brief Review on the Application of Machine Learning for Transient Stability Prediction of Synchronous Generators to Proposing a Comparative Framework
Ali Abdalredha - Alireza Sobbouhi - ابوالفضل واحدی
A Switched Capacitor Multilevel Inverter With Optimized Capacitance by Using Hybrid-PWM
Mohammad Javad Abbasi - Mohammad Saleh Jahanshahi - Karim Abbaszadeh
استاندارد IEC60422-2024 و تغییرات ایجاد شده
مهدی بیگدلی بیگدلی - سیدعمیدالدین موسوی
تشخیص عیب میله شکسته در موتورهای القایی سهفاز با استفاده از طیف فرکانسی مولفه شعاعی شار پراکندگی بیرونی
علیرضا قائم پناه - علی مصلی نژاد - فرهاد حق جو
Finite Element Analysis of a New High Torque Density Inter-Modular Permanent Magnet Motor with Flux Barriers in the Stator
Mohammad Afrank - Mohammad Amirkhani - Ehsan Farmahini Farahani - Mojtaba Mirsalim
Rotor Topology Modification for Torque Enhancement in Synchronous Reluctance Motors via GA-Driven Parametric Optimization
Amirhassan Mirzaei - Mansour Rafiee
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.0.1