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- 저자 : Mohd Fairoz Omar (검색결과 2 건)
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Mohd Fairoz Omar,Erwan Sulaiman,Md. Zaraf Ahmad 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6
Three-phase feld excitation fux switching motor (FEFSM) with salient rotor structure has been introduced with their advantages of rotor easy temperature elimination and controllable FEC magnetic fux. Yet, the salient rotor structure is found to lead a longer magnetic fux path between stator and rotor parts, producing a weak fux linkage along with low torque performances. Hence, a new structure of single-phase FEFSM using segmental rotor with non-overlap windings is proposed with advantages of shorter magnetic fux path, light weight and robust rotor structure. Analysis on fundamental magnetic fux characteristics, armature and FEC magnetic fux linkages, cogging torque, back-Emf, various torque capabilities, refnement of unbalance magnetic fux, and torque-power versus speed characteristics are conducted using 2D FEA through JMAG Designer version 15. The results show that magnetic fux amplitude ratio has been improved by 41.2% while the highest torque and power achieved are 1.45 Nm and 343.8 W, respectively.
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Design Optimization Methods for Electrical Machines: A Review
Omar Mohd. Fairoz Bin,Sulaiman Erwan Bin,Soomro Irfan Ali,Ahmad Md. Zarafi Bin,Aziz Roziah 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4
Most of the appliances in industrial equipment and systems uses electric machines. They fill the various requirements for global sustainability not only physically or technologically but also environmentally. Therefore, progressively complex engineering domains and constraints are involved in the design optimization process such as electromagnetics, structural mechanics, and heat transfer. This paper aims to present a review of the design optimization methods for electrical machines, including design analysis methods and models, optimization models and algorithms. Several efficiency optimization methods are highlighted such as Gradient Based Algorithm, Tabu Search, Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Multi-objective Algorithm and Deterministic Optimization Method. Meanwhile, Deterministic Optimization Method has been presented on Field excitation, Permanent magnet and Hybrid excitation flux switching machines for the optimization. From the literature reviews, it is observed that DOM algorithms gained the best design technique for electric machines to produce optimal performances.
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