0% Complete
|
ورود به سامانه
|
ثبت نام
صفحه اصلی
/
icemd2024
Minimizing Torque Ripple in Synchronous Reluctance Motors Through Rotor Shape Optimization with Particle Swarm Algorithm
نویسندگان :
Mohammadreza Naeimi
1
Karim Abbaszadeh
2
1- Department of Electrical Engineering K. N. Toosi University of Technology
2- Department of Electrical Engineering K. N. Toosi University of Technology
کلمات کلیدی :
Particle Swarm Optimization (PSO)،Rotor Parameters،Flux Barriers،Torque Ripple،Synchronous Reluctance Motor (SynRM)
چکیده :
In this paper, the torque ripple of the synchronous reluctance motor (SynRM) is suppressed by optimizing the geometry of the rotor. A new method based on the particle swarm optimization (PSO) evolutionary algorithm is used to optimize highlighted rotor parameters, such as the size of iron parts and barrier widths along the d and q axes and the angle of the rotor end barriers. At the same time, the insulation factor and rib thickness remain the same during the optimization. The main goal of optimization is to get a pure sinusoidal airgap flux density by manipulating the rotor parameters, resulting in reducing the torque ripple. The Finite element analysis (FEA) and comparative study are conducted for conventional and optimization design to reveal the optimization effect on the motor characteristics such as average torque, torque ripple, and flux density distribution. The results indicated that the torque ripple of the optimized rotor is reduced from 21.81% to 5.02% compared to the conventional design, while the average torque is improved by 0.45 N.m. By considering the identical stator structure for the induction motor (IM) and SynRM, the SynRM with the optimized rotor is fabricated by utilizing the stator of the 1-hp IM motor. Then, the prototype is tested, and experimental results are derived to verify the simulation results. The results indicated a strong correlation between the simulation results and the experimental test results.
لیست مقالات
لیست مقالات بایگانی شده
Torque Fluctuation Minimization in PMa-SynRM Using Enhanced Field-Oriented Control by Genetic Algorithm Optimized Current Harmonic Injection
Hossein Dehghan-Niri - Ahmadreza Karami-Shahnani - Karim Abbaszadeh - Reza Nasiri-Zarandi - Mohammad Sedigh Toulabi
Torque Profile Enhancement in a Coaxial Magnetic Gear by Modification Shape of Flux Modulator
Alireza Jaferian-Fini - Alireza Sohrabzadeh - Hossein Torkaman - Hamid Ebrahimi
Stator structural analysis of an in-wheel permanent magnet electric motor for sports utility vehicle (SUV) via multi-physics procedure
Saeed Rostami - Mohsen Nikfar
Modeling and simulation of a Novel Actuator for Medium-Voltage Vacuum Circuit Breakers Based on PMSM Servo Drive
Shahin Mahdiyounrad - Hamid Ashrafi - Hamed Mohajeri
Electromagnetic Sensor Behavior Prediction Using LSTM Neural Network for Enhanced Accuracy and Reliable Performance
Ahmad Saasni - Mehrdad Ghafari - Mostafa Eftekharizadeh
2D Lumped Parameter Model for Temperature Prediction in a Radial Flux Switching Generator with Two Permanent Magnet Types
Ali Zarghani - Mohammad Farahzadi - Aghil Ghaheri - Karim Abbaszadeh - Hossein Torkaman - Ebrahim Afjei
A LCC-LCC Converter with Near Constant Output Voltage for Autonomous Underwater Vehicles
Ahmad Siroos - Ebrahim Afjei - Xiaodong Liang - Alireza Sheikhi Fini
Enhanced On-Board Charger Performance Using Model Predictive Control with Interleaved Totem Pole PFC Based on Asymmetrical CLLC Converters
Reza Hamdi - Hossein Torkaman - Amin Amraei
Dynamic Modeling and Identification of Brushless Aircraft Generating System
Kamila Heshmati
A Comparative Study of Foucault Brake System to Consider the Effect of Disc Shape and Material for Increasing Eddy Current Loss and Braking Torque
Hamed Nazifi - Alireza Namnabat - Aref Doroudi
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2