لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
The 5th International Conference on Electrical Machines and Drives
Design and Parametric Analysis of a New Segmented Consequent-Pole Permanent Magnet Machine
نویسندگان :
Mohammadreza Naeimi
1
Amir Ebrahimi Shohani
2
Mohammad Farahzadi
3
Fariba Farrokh
4
Karim Abbaszadeh
5
Johan Gyselinck
6
1- Department of Electrical Engineering K. N. Toosi University of Technology Tehran, Iran
2- Department of Electrical Engineering K. N. Toosi University of Technology Tehran, Iran
3- Department of Electrical Engineering Electrical Engineering, University of Science and Culture Tehran, Iran
4- Department of Electrical Engineering Shahid Beheshti University Tehran, Iran
5- Department of Electrical Engineering K. N. Toosi University of Technology Tehran, Iran
6- Department of Electro and Mechanical Systems Université Libre de Bruxelles Brussels, Belgium
کلمات کلیدی :
Permanent Magnet،PM Utilization Ratio،Consequent-pole machine،Segmented structure،Parametric analysis
چکیده :
Consequent-pole permanent magnet (CPM) machines, renowned for their high permanent magnet (PM) utilization ratio, have increasingly found application in cost-sensitive domains. However, these machines exhibit asymmetrical air gap flux density and high torque ripple, which can impact their performance. This study presents a novel L-shaped segmented CPM (LS-CPM) machine, integrating the CPM motor's strengths and segmented structure to tackle the CPM machine problems. First, the study conducts a parametric analysis for each L-shaped rotor parameter to identify the optimal range to achieve minimum torque ripple and maximum average torque. For this purpose, the finite element method (FEM) is utilized to investigate the variation of the arc angle of the PM, iron pole, and barrier during the analysis. Then, A comparative study is employed to assess the torque characteristics, PM utilization ratio, no-load airgap flux density, and cogging torque of the proposed LS-CPM machine with optimal rotor parameters and the Segmented surface-mounted PM (S-SMPM) machine. Results reveal that the LS-CPM machine offers a comparable average torque despite consuming 49% less PM volume than the S-SMPM machine, leading to an 84.4% increase in PM utilization ratio. Furthermore, the LS-CPM machine has a torque ripple of 18.1%, while the S-SMPM machine delivers more torque ripple, which is 27.9%. In addition, based on the no-load airgap flux density results, the LS-CPM machine exhibits a more symmetrical distribution than the M-SMPM machine due to incorporating the segmented L-shaped structure and the CPM concept in the LS-CPM machine. Furthermore, the symmetrical airgap flux density distribution in the LS-CPM machine significantly reduces its peak-to-peak cogging torque from 7.17 N.m to 4.69 N.m.
لیست مقالات
لیست مقالات بایگانی شده
حفاظت ترنسفورماتور قدرت با استفاده از یک رله تفاضلی تطبیقی چند-ناحیهای
حسین حاجیان - سجاد توحیدی
A Survey of Friction and Windage Losses Determination Methods of Induction Motors
Moslem Geravandi - Hassan Moradi
Novel Single-phase five-level current source CHB protection topology with SIC switches for induction motor
Amirhossein Ramezankhani - Amir Masoud Nouki - Farzad Bodaghi - Mohammadreza Arabshahi - Sobhan Mohammadian - Davood Arab Khaburi
Design, Simulation, and Performance Evaluation of a D77 DC Traction Motor Converted to AC Operation
Morteza Hemmati - Sara Javadianfar - Hosein Jamshidpour
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
Identification of Brushless DC Motor Parameters Using Meta-Heuristic Techniques
Amirhossein Sadeghi-Bahmani - Ramin Alipour-Sarabi
Analyzing DC Bus Voltage Fluctuations Under Abnormal Load Conditions in Electric Vehicles
Mohammad Hossein Mousavi - Hassan Moradi - Amin Mahmoudi
Reverse Rotor Pole Construction in Axial-Field Flux-Switchnig PM Machine with High-Torque and Low-Cogging Torque
Hamid Ebrahimi - Hossein Torkaman - Alireza Sohrabzadeh - Alireza Jaferian-Fini - Hamid Javadi
Use of Embedded Permanent Magnets in the Design and Analysis of Switched Reluctance Motors for Torque Optimization
Matin Rahimi - Seyed Hamid Shahalami - Esmaeil Fallah Choolabi
Transformative Control Optimization in PMSG-Based Wind Energy Systems: A Deep Reinforcement Learning Approach
Bagher Khadem Hamedani - Masoud Izadi - Nahid Izadi - Amin Azarshab - Ali Najari - Behnam Zaker
بیشتر
ثمین همایش، سامانه مدیریت همایش ها و جشنواره ها - نگارش 44.11.0