2023
DOI: 10.1109/access.2023.3267159
|View full text |Cite
|
Sign up to set email alerts
|

Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence

Abstract: This work has been partially funded by project "InSITE -INtelligent energy management of Smartgrids based on IoT and edge/cloud Technologies -Bando di gara per progetti di ricerca di cui all'art. 10, comma 2, lettera b) del decreto 26 gennaio 2000, previsti dal Piano triennale 2019-2021 della Ricerca di sistema elettrico nazionale -Prog. CSEAB_00320".

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 40 publications
(82 reference statements)
0
1
0
Order By: Relevance
“…This torque is associated with the geometric structure of the machine. Thus, cogging torque is affected by structural variables such as magnet geometry, stator slot number and structure and pole number [ 46 , 47 ]. Cogging torque is expressed in terms of rotor position and air gap flux by equation (4.8) in Nm [ 48 ]:…”
Section: Correlation and Comparative Analysismentioning
confidence: 99%
“…This torque is associated with the geometric structure of the machine. Thus, cogging torque is affected by structural variables such as magnet geometry, stator slot number and structure and pole number [ 46 , 47 ]. Cogging torque is expressed in terms of rotor position and air gap flux by equation (4.8) in Nm [ 48 ]:…”
Section: Correlation and Comparative Analysismentioning
confidence: 99%
“…The motor speed is changed according to both linear and S-shaped adjustable characteristics. In this case, it is possible to adjust the acceleration time of the engine [1][2][3][4]. After that, a method of switching the connection of the star-triangle windings was used to implement a smooth start of the motor.…”
Section: Introductionmentioning
confidence: 99%