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- 저자 : Ahmad Md Zarafi Bin (검색결과 2 건)
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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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Soomro Irfan Ali,Sulaiman Erwan Bin,Ahmad Md Zarafi Bin,Aziz Roziah 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4
Due to the large power/torque density and high efficiency of permanent magnet flux switching magnet (FSPM) are suitable for driving electric vehicles and hybrid electric vehicles. In this paper, flux switching permanent magnet machine (PMFSM), field excitation flux switching machine (FEFSM) and hybrid excitation flux switching machine (HEFSM) with salient rotor topology is compared with modular rotor permanent magnet flux switching machine. On the condition of the same outer diameters, the electromagnetic performances of the machines are analyzed and compared by the two-dimensional (2D) finite element method including the flux density, back electromotive force (EMF), cogging torque, electromagnetic torque, and power. The finite element results show that the modular rotor permanent magnet flux switching machine has greater torque than salient rotor FEFSM, HEFSM, and PMFSM at the rated load with significantly less weight than the others.
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