Maximizing the output power of magnetically geared generator in low-speed applications using subdomain modeling and particle swarm optimization
Source abstract
Abstract
This study presents an approach to optimizing the output power in a magnetically geared generator by employing subdomain modeling and particle swarm optimization. Accordingly, the subdomain analytical method is utilized to obtain the induced voltage, inductance which are used to predict output power. Afterward, the swarm intelligence optimization technique is applied to reach the maximum output power point. The 12/17/15 prototype evaluated the proposed model by comparing the calculated results and finite element method simulation.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electric Motor Design and Analysis · Magnetic Bearings and Levitation Dynamics · Magnetic Properties and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering, Chungnam National University 1 , Daejeon 34134, South Korea
Department of Power System Engineering, Chonnam National University 2 , Yeosu 59626, South Korea
Department of Electrical Engineering, Hanoi University of Science and Technology 3 , Hanoi 100000, Vietnam
Funding
Ministry of Oceans and Fisheries
References (24)
Show source-provided references
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