Optimal Design, Modeling, and Evaluation of Single-Phase Axial Flux Induction Motor with a Permanent Capacitor Using Improved Particle Swarm Optimization Algorithm

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Aboutalebi Najafabadi Amin

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Journal: Journal of Intelligent Procedures in Electrical Technology Year:2021 | Volume:11 | Issue:44 Page(s): 47-69

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Information Journal Paper

Title

Optimal Design, Modeling, and Evaluation of Single-Phase Axial Flux Induction Motor with a Permanent Capacitor Using Improved Particle Swarm Optimization Algorithm

Author(s)

Aboutalebi Najafabadi Amin | Issue Writer Certificate

Keywords

optimization algorithmQ1

improve particle swarm optimization algorithmQ1

finite element methodQ1

continuous mode functional modelQ1

single-phase axial flux induction motorQ1

Abstract

The increasing application of single-phase axial flux induction motors with a permanent capacitor and their low efficiency has led to the importance of optimization of this type of motors. In this paper, by introducing the classical algorithms of design of this type of motors, which consists of finding the dimensions of different parts of the motor and calculation of electrical parameters such as resistance and reactance, and capacitor, by introducing the proposed equivalent circuit in the permanent state to reduce the air gap of the motor, introduces the structure of optimization algorithms and then uses a genetic algorithm and improved particle swarm algorithm to optimize the design of the axial flux motor to increase efficiency, increase power factor and reduce core volume. For this purpose, a single-phase axial flux induction motor with a permanent capacitor that has considerable application in ventilation systems is investigated, and using design formulas and with the help of a circuit equivalent to the proposed permanent state, as well as using Intelligent methods such as genetic algorithm and improved particle swarm algorithm, engine optimization to increase maximum efficiency and the results are drawn in the form of torque-speed and efficiency-speed diagrams and compared with each other. Finally, the designed motor is simulated by the finite element method to verify the design algorithm, the steady-state model, the proposed optimization algorithm, and the test results.

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APA: Copy

Aboutalebi Najafabadi, Amin. (2021). Optimal Design, Modeling, and Evaluation of Single-Phase Axial Flux Induction Motor with a Permanent Capacitor Using Improved Particle Swarm Optimization Algorithm. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, 11(44 ), 47-69. SID. https://sid.ir/paper/405749/en

Vancouver: Copy

Aboutalebi Najafabadi Amin. Optimal Design, Modeling, and Evaluation of Single-Phase Axial Flux Induction Motor with a Permanent Capacitor Using Improved Particle Swarm Optimization Algorithm. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY[Internet]. 2021;11(44 ):47-69. Available from: https://sid.ir/paper/405749/en

IEEE: Copy

Amin Aboutalebi Najafabadi, “Optimal Design, Modeling, and Evaluation of Single-Phase Axial Flux Induction Motor with a Permanent Capacitor Using Improved Particle Swarm Optimization Algorithm,” JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, vol. 11, no. 44 , pp. 47–69, 2021, [Online]. Available: https://sid.ir/paper/405749/en

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