Partitioned Stator Switched Flux Machine: Novel Winding Configurations.

HE-PSSFM3 dual stator finite element analysis partitioned stator permanent magnet

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
22 Aug 2020
Historique:
received: 24 06 2020
revised: 17 08 2020
accepted: 19 08 2020
entrez: 8 12 2020
pubmed: 9 12 2020
medline: 9 12 2020
Statut: epublish

Résumé

Torque density is one of the major limiting factors in machine design. In this paper, we propose the hybrid excited partitioned stator switched flux machine3 (HE-PSSFM3). In HE-PSSFM3, armature winding is positioned on the outer stator whereas the permanent magnet (PM) and field winding are placed at the inner stator, while the rotor is free from excitation sources and armature winding. Moreover, concentrated field winding is replaced by toroidal winding. The power splitting ratio between two stators/rotor pole combinations is analytically optimized and are validated through genetic algorithm (GA) in order to enhance average torque and flux regulation capability. The electromagnetic characteristics of the improved and initial design are evaluated and compared with existing designs, i.e., HE-PSSFM1 and HE-PSSFM2. The proposed HE-PSSFM3 has achieved high average torque, i.e., 2.0015 Nm, at same armature and field current densities of 5 A/mm2. The results show that the average torques of the proposed design are 35% and 15% greater than HE-PSSFM1 and HE-PSSFM2, respectively. Furthermore, the analysis of various parameters such as flux linkage, flux regulation, electromagnetic performances, cogging torque, back EMF, electromagnetic torque, and torque ripples are investigated using two dimensional (2D) finite element analysis (FEA). Moreover, the simulation results of the proposed design are validated through GA and analytical modeling.

Identifiants

pubmed: 33286689
pii: e22090920
doi: 10.3390/e22090920
pmc: PMC7597168
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : This work was supported by the Ministry of Education and the Deanship of Scientific Research, Najran University. Kingdom of Saudi Arabia, under code number NU/ESCI/19/001.
ID : NU/ESCI/19/001.

Auteurs

Muhammad Irfan (M)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Naveed Ur Rehman (NU)

Department of Electrical Engineering, City University of Science and Information Technology, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan.

Faisal Khan (F)

Faculty of Electrical Engineering, Abbottabad Campus, COMSATS University Islamabad, Abbottabad 22060, Pakistan.

Fazal Muhammad (F)

Department of Electrical Engineering, City University of Science and Information Technology, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan.

Abdullah S Alwadie (AS)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Adam Glowacz (A)

Department of Automatic, Control and Robotics, AGH University of Science and Technology, 30-059 Krakow, Poland.

Classifications MeSH